Nothing
inst/doc/wsDurbin.R
In FitARMA: Fit ARMA or ARIMA Using Fast MLE Algorithm
`ans` <-
structure(list(formula = quote(mse ~ theta | which * n), as.table = FALSE,
aspect.fill = TRUE, legend = NULL, panel = function(x,y,subscripts=T){
panel.xyplot(x,y)
panel.abline(h=1, lty=2, col="red")
ciLo<-y-1.96*mse.df$sd[subscripts]
ciHi<-y+1.96*mse.df$sd[subscripts]
lsegments(x,ciLo,x,ciHi,lwd=3)
cat(x, fill=T)
cat(ciLo, fill=T)
cat(ciHi, fill=T)
}
, page = NULL, layout = NULL, skip = FALSE, strip = function (...)
{
dots <- list(...)
do.call("strip.default", updateList(dots, args))
}, strip.left = FALSE, xscale.components = function (lim,
packet.number = 0, packet.list = NULL, top = TRUE, ...)
{
comps <- calculateAxisComponents(lim, packet.list = packet.list,
packet.number = packet.number, ...)
list(num.limit = comps$num.limit, bottom = list(ticks = list(at = comps$at,
tck = 1), labels = list(at = comps$at, labels = comps$labels,
check.overlap = comps$check.overlap)), top = top)
}, yscale.components = function (lim, packet.number = 0,
packet.list = NULL, right = TRUE, ...)
{
comps <- calculateAxisComponents(lim, packet.list = packet.list,
packet.number = packet.number, ...)
list(num.limit = comps$num.limit, left = list(ticks = list(at = comps$at,
tck = 1), labels = list(at = comps$at, labels = comps$labels,
cex = 1, check.overlap = comps$check.overlap)), right = right)
}, axis = function (side = c("top", "bottom", "left", "right"),
scales, components, as.table, labels = c("default", "yes",
"no"), ticks = c("default", "yes", "no"), ...)
{
side <- match.arg(side)
labels <- match.arg(labels)
ticks <- match.arg(ticks)
row <- lattice.getStatus("current.focus.row")
column <- lattice.getStatus("current.focus.column")
panel.layout <- trellis.currentLayout("panel")
layout.dim <- dim(panel.layout)
determineStatus <- function(x) {
if (is.null(x) || (is.logical(x) && !x))
FALSE
else TRUE
}
lastPanel <- function() {
((pn <- panel.number()) > 0 && pn == max(panel.layout))
}
atBoundary <- function() {
switch(side, top = if (as.table)
row == 1
else row == layout.dim[1], bottom = if (!as.table)
row == 1
else row == layout.dim[1], left = column == 1, right = column ==
layout.dim[2] || lastPanel())
}
do.ticks <- switch(ticks, yes = TRUE, no = FALSE, default = scales$draw &&
determineStatus(components[[side]]) && (if (scales$relation ==
"same")
atBoundary()
else TRUE))
do.labels <- switch(labels, yes = TRUE, no = FALSE, default = scales$draw &&
(if (scales$relation == "same") {
atBoundary() && switch(side, top = rep(scales$alternating,
length = column)[column] %in% c(2, 3), bottom = rep(scales$alternating,
length = column)[column] %in% c(1, 3), left = rep(scales$alternating,
length = row)[row] %in% c(1, 3), right = rep(scales$alternating,
length = row)[row] %in% c(2, 3))
}
else TRUE))
if (do.ticks || do.labels) {
comp.list <- switch(side, top = if (is.logical(components[["top"]]) &&
components[["top"]])
components[["bottom"]]
else components[["top"]], bottom = components[["bottom"]],
left = components[["left"]], right = if (is.logical(components[["right"]]) &&
components[["right"]])
components[["left"]]
else components[["right"]])
scales.tck <- switch(side, left = , bottom = scales$tck[1],
right = , top = scales$tck[2])
panel.axis(side = side, at = comp.list$ticks$at,
labels = comp.list$labels$labels, draw.labels = do.labels,
check.overlap = comp.list$labels$check.overlap,
outside = TRUE, tick = do.ticks, tck = scales.tck *
comp.list$ticks$tck, ...)
}
}, xlab = expression(theta[1]), ylab = "relative efficiency",
xlab.default = "theta", ylab.default = "mse", main = NULL,
sub = NULL, x.between = 0, y.between = 0, par.settings = NULL,
plot.args = NULL, lattice.options = NULL, par.strip.text = NULL,
index.cond = list(as.integer(c(1, 2)), as.integer(c(1, 2,
3, 4))), perm.cond = as.integer(c(1, 2)), condlevels = structure(list(
which = c("Durbin", "faster"), n = c("50", "100", "200",
"400")), .Names = c("which", "n")), call = quote(xyplot.formula(x = mse ~
theta | which * n, data = mse.df, panel = function(x,
y, subscripts = T) {
panel.xyplot(x, y)
panel.abline(h = 1, lty = 2, col = "red")
ciLo <- y - 1.96 * mse.df$sd[subscripts]
ciHi <- y + 1.96 * mse.df$sd[subscripts]
lsegments(x, ciLo, x, ciHi, lwd = 3)
cat(x, fill = T)
cat(ciLo, fill = T)
cat(ciHi, fill = T)
}, strip = strip.custom(bg = 0), xlab = expression(theta[1]),
ylab = "relative efficiency")), x.scales = structure(list(
draw = TRUE, axs = "r", tck = c(1, 1), tick.number = 5,
lty = FALSE, lwd = FALSE, cex = c(FALSE, FALSE), rot = c(FALSE,
FALSE), font = FALSE, fontfamily = FALSE, fontface = FALSE,
at = FALSE, labels = FALSE, col = FALSE, col.line = FALSE,
alpha = FALSE, alpha.line = FALSE, log = FALSE, alternating = c(1,
2), relation = "same", abbreviate = FALSE, minlength = 4,
limits = NULL, format = NULL), .Names = c("draw", "axs",
"tck", "tick.number", "lty", "lwd", "cex", "rot", "font",
"fontfamily", "fontface", "at", "labels", "col", "col.line",
"alpha", "alpha.line", "log", "alternating", "relation",
"abbreviate", "minlength", "limits", "format")), y.scales = structure(list(
draw = TRUE, axs = "r", tck = c(1, 1), tick.number = 5,
lty = FALSE, lwd = FALSE, cex = c(FALSE, FALSE), rot = c(FALSE,
FALSE), font = FALSE, fontfamily = FALSE, fontface = FALSE,
at = FALSE, labels = FALSE, col = FALSE, col.line = FALSE,
alpha = FALSE, alpha.line = FALSE, log = FALSE, alternating = c(1,
2), relation = "same", abbreviate = FALSE, minlength = 4,
limits = NULL, format = NULL), .Names = c("draw", "axs",
"tck", "tick.number", "lty", "lwd", "cex", "rot", "font",
"fontfamily", "fontface", "at", "labels", "col", "col.line",
"alpha", "alpha.line", "log", "alternating", "relation",
"abbreviate", "minlength", "limits", "format")), panel.args.common = list(),
panel.args = list(structure(list(x = c(-1, -0.9, -0.6, -0.3,
0, 0.3, 0.6, 0.9, 1), y = c(0.11675274690557, 0.129732606691582,
0.224869800307634, 0.255905594541060, 0.256476071493035,
0.333151627730394, 0.558285515316407, 0.223460560950291,
0.0361318787980603), subscripts = as.integer(c(1, 2, 3, 4,
5, 6, 7, 8, 9))), .Names = c("x", "y", "subscripts")), structure(list(
x = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), y = c(0.913337528827138,
1.09671643879923, 1.05753636551142, 1.00297775635174,
1.01715505624527, 1.13453978617827, 1.57723068560817,
1.54455512439716, 0.185443757114687), subscripts = as.integer(c(37,
38, 39, 40, 41, 42, 43, 44, 45))), .Names = c("x", "y",
"subscripts")), structure(list(x = c(-1, -0.9, -0.6, -0.3,
0, 0.3, 0.6, 0.9, 1), y = c(0.156423947104345, 0.52455414752344,
0.42580574616558, 0.398787266601439, 0.413516965045608, 0.449220316054786,
0.700459052529701, 1.14160987755915, 0.0370537351186443),
subscripts = as.integer(c(10, 11, 12, 13, 14, 15, 16,
17, 18))), .Names = c("x", "y", "subscripts")), structure(list(
x = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), y = c(0.58591979891721,
1.08415368123961, 0.992188012576585, 1.00005102843258,
1.00051181076304, 1.00540777521766, 1.09758266972169,
2.42096181415489, 0.0911630580745359), subscripts = as.integer(c(46,
47, 48, 49, 50, 51, 52, 53, 54))), .Names = c("x", "y",
"subscripts")), structure(list(x = c(-1, -0.9, -0.6, -0.3,
0, 0.3, 0.6, 0.9, 1), y = c(0.0600041364510462, 0.90050428183714,
0.60506303753646, 0.614548516613525, 0.586962456595812, 0.64573842993309,
0.717904283345766, 1.85259080504198, 0.0215791273467595),
subscripts = as.integer(c(19, 20, 21, 22, 23, 24, 25,
26, 27))), .Names = c("x", "y", "subscripts")), structure(list(
x = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), y = c(0.186853760920037,
0.962248764510165, 0.99991270668017, 1.00002766065243,
1.00011068307345, 1.00082236502501, 1.00861943104796,
1.94989933834916, 0.0523313272679457), subscripts = as.integer(c(55,
56, 57, 58, 59, 60, 61, 62, 63))), .Names = c("x", "y",
"subscripts")), structure(list(x = c(-1, -0.9, -0.6, -0.3,
0, 0.3, 0.6, 0.9, 1), y = c(0.0176598056723895, 0.953789162530844,
0.76455950109146, 0.779904299143822, 0.795449770079783, 0.752567081666784,
0.85301549501212, 1.41974502957715, 0.012564912128548), subscripts = as.integer(c(28,
29, 30, 31, 32, 33, 34, 35, 36))), .Names = c("x", "y", "subscripts"
)), structure(list(x = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6,
0.9, 1), y = c(0.0639968020757109, 0.9516869119359, 0.999953160848284,
1.00007571990428, 0.999959832848587, 1.00021793502312, 1.00222013449796,
1.16441526267162, 0.0379471770402344), subscripts = as.integer(c(64,
65, 66, 67, 68, 69, 70, 71, 72))), .Names = c("x", "y", "subscripts"
))), packet.sizes = structure(c(9, 9, 9, 9, 9, 9, 9, 9), .Dim = structure(as.integer(c(2,
4)), .Names = c("which", "n")), .Dimnames = structure(list(
which = c("Durbin", "faster"), n = c("50", "100", "200",
"400")), .Names = c("which", "n"))), x.limits = c(-1.14,
1.14), y.limits = c(-0.156022871013296, 2.58954959729673),
x.used.at = NULL, y.used.at = NULL, x.num.limit = NULL, y.num.limit = NULL,
aspect.ratio = 1, prepanel.default = function (x, y, type,
subscripts, groups = NULL, ...)
{
if (any(!is.na(x)) && any(!is.na(y))) {
ord <- order(as.numeric(x))
if (!is.null(groups)) {
gg <- groups[subscripts]
dx <- unlist(lapply(split(as.numeric(x)[ord],
gg[ord]), diff))
dy <- unlist(lapply(split(as.numeric(y)[ord],
gg[ord]), diff))
}
else {
dx <- diff(as.numeric(x[ord]))
dy <- diff(as.numeric(y[ord]))
}
list(xlim = if (is.numeric(x)) range(x, finite = TRUE) else levels(x),
ylim = if (is.numeric(y)) range(y, finite = TRUE) else levels(y),
dx = dx, dy = dy)
}
else list(xlim = c(NA, NA), ylim = c(NA, NA), dx = NA,
dy = NA)
}, prepanel = NULL), .Names = c("formula", "as.table", "aspect.fill",
"legend", "panel", "page", "layout", "skip", "strip", "strip.left",
"xscale.components", "yscale.components", "axis", "xlab", "ylab",
"xlab.default", "ylab.default", "main", "sub", "x.between", "y.between",
"par.settings", "plot.args", "lattice.options", "par.strip.text",
"index.cond", "perm.cond", "condlevels", "call", "x.scales",
"y.scales", "panel.args.common", "panel.args", "packet.sizes",
"x.limits", "y.limits", "x.used.at", "y.used.at", "x.num.limit",
"y.num.limit", "aspect.ratio", "prepanel.default", "prepanel"
), class = "trellis")
`BiasD` <-
structure(c(-0.0690303126917658, -0.110890543463780, -0.195813806698519,
-0.0846684220656435, -0.00762767369911398, 0.138429122342300,
0.172603596196988, 0.133413910796372, 0.105162207923409, -0.110967438223765,
-0.154576056080638, -0.25844812651337, -0.207160704026511, 0.00503717948896988,
0.155148737854047, 0.276332124402382, 0.150069477041232, 0.115917648692742,
-0.0838443889592096, -0.164779279461025, -0.311479210945394,
-0.235147403044395, 0.0133201563429544, 0.218763795788636, 0.317350470909664,
0.169136106423357, 0.108738543240135), .Dim = as.integer(c(9,
3)), .Dimnames = list(c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3",
"0.6", "0.9", "1"), c("50", "100", "200")))
`BiasF` <-
structure(c(-0.974703251797407, -0.895073111017522, -0.570278859547403,
-0.295977976206187, -0.00325180241045575, 0.387319092212454,
0.576355057215505, 0.864590639234944, 0.887893809592945, -0.948659708558226,
-0.913473599597479, -0.599669202616826, -0.368261774822904, -0.00224587735315031,
0.255714760354340, 0.617526799119699, 0.908749002809955, 0.95647809920068,
-0.983338598345855, -0.892423731451171, -0.618626815816272, -0.315250157081183,
0.0216282769685765, 0.296129566185396, 0.577019401636057, 0.896033294320301,
0.964594775053182), .Dim = as.integer(c(9, 3)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200")))
`BiasMLE` <-
structure(c(-0.979078091289149, -0.900288239954496, -0.570587385865598,
-0.2960373847592, -0.00323382934460706, 0.387907488043804, 0.583598488220127,
0.954974104644666, 0.971312372599029, -0.963845108072498, -0.908332066936113,
-0.599682785539631, -0.368280578196013, -0.00223964837860805,
0.255865621442613, 0.619632938403792, 0.967354887285601, 0.990077844307588,
-0.99355897308926, -0.894232282669568, -0.618622948808761, -0.315263104368087,
0.0216317292605715, 0.296158337829338, 0.577139194464239, 0.924420108966324,
0.999999534230659), .Dim = as.integer(c(9, 3)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200")))
`cleanws` <-
function(){
rm(list=ls(envir=.GlobalEnv), envir=.GlobalEnv)
load(file=".Rdata", envir=.GlobalEnv)
}
`contents` <-
c("cleanws", "last.warning", "loadws", "savews")
`DurbinMA1` <-
function(z, p){
phis<-c(1, -(ar.burg(z,aic=FALSE, order.max=p)$ar))
p1<-length(phis)
sum(phis[1:(p1-1)]*phis[2:p1])/sum(phis^2)
}
`effD` <-
structure(c(10.3933952928040, 8.09249758881614, 4.3031935448892,
1.17237894060921, 0.0960621417214903, 0.929123430849498, 3.47886994812772,
7.8136570677916, 10.0508001192620, 11.2706801095058, 8.78346121330523,
3.97204024657359, 1.28121252787489, 0.0382457594033912, 0.691863090485676,
4.04942974418599, 7.6394225816309, 9.18801075221118, 10.5774698071424,
8.07648172826462, 3.6868152574181, 1.00977169726479, 0.0486416248546263,
0.866827552159416, 3.70061237655753, 6.98832648176569, 10.0339063711565
), .Dim = as.integer(c(9, 3)))
`effF` <-
structure(c(10.7031814402698, 7.15791025140092, 5.18630684865208,
1.88616418285361, 0.315059968586675, 1.07919787286359, 3.75730792280817,
9.11324695487668, 8.99650721146275, 11.5211707655920, 8.59802894517409,
4.09575139148999, 1.35353560323467, 0.0453305116170846, 0.605895251759884,
4.01047776306944, 7.79853893787547, 9.7327277994626, 10.5301154411355,
8.26914333638363, 3.78217717065533, 1.0584263097919, 0.0637302867721177,
0.896697038366487, 3.76500101517305, 6.83978456502129, 10.1319335788826
), .Dim = as.integer(c(9, 3)))
`effMLE` <-
structure(c(10.7038435574625, 7.15653497705528, 5.1878033701398,
1.92762214898487, 0.316768429894915, 1.07901590554933, 3.75671878938855,
9.11209869138059, 8.99599646731858, 11.5249707650290, 8.59823183815812,
4.09592741362995, 1.35383034132954, 0.0453337399219675, 0.605816988191265,
4.01035622433275, 7.79846037508116, 9.73264081870544, 10.5301384525958,
8.26912536746038, 3.78213652547288, 1.05847126605346, 0.0637380875621592,
0.896662248443934, 3.76501956786495, 6.83969929128132, 10.1318521457164
), .Dim = as.integer(c(9, 3)))
`i` <-
as.integer(1000)
`ith` <-
as.integer(9)
`jn` <-
as.integer(4)
`last.warning` <-
structure(list("one-diml optimization by Nelder-Mead is unreliable: use optimize" = quote(optim(xinit,
EntropyARMA, method = "Nelder-Mead"))), .Names = "one-diml optimization by Nelder-Mead is unreliable: use optimize")
`loadws` <-
function(name, d="2007"){
name<-paste(d,name,sep="/")
ws <- paste(paste("d:/r",name,sep="/"),".Rdata",sep="/")
wsH <- paste(paste("d:/r",name,sep="/"),".RHistory",sep="/")
cat(ws, fill=T)
load(ws, .GlobalEnv)
loadhistory(wsH)
cat(paste("loaded: ", ws), fill=T)
cat(paste("loaded: ", wsH), fill=T)
}
`m` <-
structure(c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = as.integer(c(9,
4)), .Dimnames = list(c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3",
"0.6", "0.9", "1"), c("50", "100", "200", "400")))
`MeanD` <-
structure(c(-0.830674961340544, -0.751543308736522, -0.467316909249413,
-0.178800712103553, 0.0525225131628362, 0.310366466903903, 0.539758305957765,
0.751389133616283, 0.78810034515066, -0.921833629259487, -0.860282009223144,
-0.550661923534292, -0.272945408029421, 0.0146847641436594, 0.314945245755121,
0.597333611650305, 0.856177648854852, 0.897803019855788, -0.94000223204509,
-0.881879232162987, -0.584260085747275, -0.290189282803636, 0.00486882867447971,
0.302881704367686, 0.599425817199299, 0.883215341559748, 0.93137363145958,
-0.946492241824048, -0.890485901207009, -0.591175399156737, -0.293675980119843,
0.0042046012705598, 0.301061697053718, 0.597884122802736, 0.892127009608985,
0.945168670918339), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`MeanF` <-
structure(c(-0.957641127850552, -0.901537691470074, -0.614784148585509,
-0.288440841640044, 0.0267855908236917, 0.337936080172804, 0.649809109491473,
0.887553713914504, 0.911526208131895, -0.969134405763276, -0.911056821733944,
-0.599761696959371, -0.298452697010590, 0.0109598921634137, 0.319823822400492,
0.625533166911334, 0.902933043677017, 0.943792878538226, -0.97301692044341,
-0.905306122744766, -0.600554989182073, -0.300382487738434, 0.00531562546392288,
0.307126941909603, 0.610322146766518, 0.906141607241055, 0.962958098109745,
-0.97600331573128, -0.902534672390357, -0.598421356051181, -0.297495933692955,
0.00320791988990020, 0.304099766377127, 0.604560672410883, 0.903735685454766,
0.974529805100112), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`MeanMLE` <-
structure(c(-0.967581873031518, -0.907343608042309, -0.614806448031738,
-0.28853475153753, 0.0270653715286451, 0.341647069185725, 0.675600167473008,
0.969801601948802, 0.990341251612978, -0.985122317655478, -0.912958230071708,
-0.599735209854659, -0.298480955029147, 0.0109724512828785, 0.320113332274474,
0.628668180818271, 0.951100920227747, 0.994902565375118, -0.991654617191251,
-0.904805006257844, -0.60056065922812, -0.300391757110132, 0.0053169296618149,
0.307170371682632, 0.610742587702627, 0.923651558820933, 0.997366345789488,
-0.996118981145822, -0.902157604982305, -0.598421794283246, -0.297500908487687,
0.00320798558602943, 0.304113755833665, 0.604645669613779, 0.907800794979088,
0.99868022738243), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`mse` <-
function(x){sum(x^2)/length(x)}
`mse.df` <-
structure(list(theta = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9,
1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6,
-0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6,
0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9,
-0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3,
0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), mse = c(0.11675274690557,
0.129732606691582, 0.224869800307634, 0.255905594541060, 0.256476071493035,
0.333151627730394, 0.558285515316407, 0.223460560950291, 0.0361318787980603,
0.156423947104345, 0.52455414752344, 0.42580574616558, 0.398787266601439,
0.413516965045608, 0.449220316054786, 0.700459052529701, 1.14160987755915,
0.0370537351186443, 0.0600041364510462, 0.90050428183714, 0.60506303753646,
0.614548516613525, 0.586962456595812, 0.64573842993309, 0.717904283345766,
1.85259080504198, 0.0215791273467595, 0.0176598056723895, 0.953789162530844,
0.76455950109146, 0.779904299143822, 0.795449770079783, 0.752567081666784,
0.85301549501212, 1.41974502957715, 0.012564912128548, 0.913337528827138,
1.09671643879923, 1.05753636551142, 1.00297775635174, 1.01715505624527,
1.13453978617827, 1.57723068560817, 1.54455512439716, 0.185443757114687,
0.58591979891721, 1.08415368123961, 0.992188012576585, 1.00005102843258,
1.00051181076304, 1.00540777521766, 1.09758266972169, 2.42096181415489,
0.0911630580745359, 0.186853760920037, 0.962248764510165, 0.99991270668017,
1.00002766065243, 1.00011068307345, 1.00082236502501, 1.00861943104796,
1.94989933834916, 0.0523313272679457, 0.0639968020757109, 0.9516869119359,
0.999953160848284, 1.00007571990428, 0.999959832848587, 1.00021793502312,
1.00222013449796, 1.16441526267162, 0.0379471770402344), which = structure(as.integer(c(1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2)), .Label = c("Durbin", "faster"), class = "factor"),
n = structure(as.integer(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4,
4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2,
2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4,
4, 4, 4, 4, 4)), .Label = c("50", "100", "200", "400"), class = "factor"),
sd = c(0.00944596679411442, 0.0127781536886754, 0.0150535663224809,
0.0149113978963999, 0.0154116611841645, 0.0243419799136147,
0.0455538549021493, 0.0158672754781823, 0.00556220750621293,
0.0147836623405092, 0.0371189367216821, 0.0283689163302860,
0.0229281330038291, 0.0232919805668042, 0.0249050619068718,
0.0414850418703185, 0.0727185339265568, 0.00707614751082277,
0.00765784200307869, 0.0451597938947851, 0.0274600530673671,
0.0257351129293616, 0.0262202539105937, 0.0284706839427150,
0.029466187452174, 0.118918747812466, 0.00510756157046645,
0.00253517027291038, 0.0367392896330252, 0.0247155201151530,
0.0236961507193769, 0.0244489785536281, 0.0255810815239796,
0.0229284339772534, 0.0754874330866043, 0.00187010686754213,
0.0283177640136421, 0.0181641901896983, 0.00716526222398152,
0.00335102693517044, 0.00723069519888006, 0.0205195673169968,
0.0424578001386714, 0.0549250738280118, 0.0251859150300943,
0.0363718930288547, 0.0286542390115604, 0.0040747026717118,
2.96338347922989e-05, 7.339304105775e-05, 0.000684183816863362,
0.0224961430715832, 0.0895926273718853, 0.0173283441614964,
0.0216048450012685, 0.0338240812813165, 0.000108376467180745,
1.27474299584679e-05, 1.24817493379906e-05, 0.000113831326534903,
0.00196305624686718, 0.0881260793544163, 0.0119427219412892,
0.0080993678380628, 0.0274177834794264, 1.85689222145469e-05,
1.47732060306367e-05, 9.70187429956515e-06, 4.11347163271527e-05,
0.000247367649218510, 0.0547082624494129, 0.00583797407001605
)), .Names = c("theta", "mse", "which", "n", "sd"), row.names = as.integer(c(NA,
72)), class = "data.frame")
`mse2.df` <-
structure(list(theta = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9,
1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6,
-0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6,
0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9,
-0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3,
0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), mse = c(0.11675274690557,
0.129732606691582, 0.224869800307634, 0.255905594541060, 0.256476071493035,
0.333151627730394, 0.558285515316407, 0.223460560950291, 0.0361318787980603,
0.156423947104345, 0.52455414752344, 0.42580574616558, 0.398787266601439,
0.413516965045608, 0.449220316054786, 0.700459052529701, 1.14160987755915,
0.0370537351186443, 0.0600041364510462, 0.90050428183714, 0.60506303753646,
0.614548516613525, 0.586962456595812, 0.64573842993309, 0.717904283345766,
1.85259080504198, 0.0215791273467595, 0.0176598056723895, 0.953789162530844,
0.76455950109146, 0.779904299143822, 0.795449770079783, 0.752567081666784,
0.85301549501212, 1.41974502957715, 0.012564912128548, 0.913337528827138,
1.09671643879923, 1.05753636551142, 1.00297775635174, 1.01715505624527,
1.13453978617827, 1.57723068560817, 1.54455512439716, 0.185443757114687,
0.58591979891721, 1.08415368123961, 0.992188012576585, 1.00005102843258,
1.00051181076304, 1.00540777521766, 1.09758266972169, 2.42096181415489,
0.0911630580745359, 0.186853760920037, 0.962248764510165, 0.99991270668017,
1.00002766065243, 1.00011068307345, 1.00082236502501, 1.00861943104796,
1.94989933834916, 0.0523313272679457, 0.0639968020757109, 0.9516869119359,
0.999953160848284, 1.00007571990428, 0.999959832848587, 1.00021793502312,
1.00222013449796, 1.16441526267162, 0.0379471770402344), which = structure(as.integer(c(1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2)), .Label = c("Durbin", "faster"), class = "factor"),
n = structure(as.integer(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4,
4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2,
2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4,
4, 4, 4, 4, 4)), .Label = c("50", "100", "200", "400"), class = "factor"),
sd = c(0.00944596679411442, 0.0127781536886754, 0.0150535663224809,
0.0149113978963999, 0.0154116611841645, 0.0243419799136147,
0.0455538549021493, 0.0158672754781823, 0.00556220750621293,
0.0147836623405092, 0.0371189367216821, 0.0283689163302860,
0.0229281330038291, 0.0232919805668042, 0.0249050619068718,
0.0414850418703185, 0.0727185339265568, 0.00707614751082277,
0.00765784200307869, 0.0451597938947851, 0.0274600530673671,
0.0257351129293616, 0.0262202539105937, 0.0284706839427150,
0.029466187452174, 0.118918747812466, 0.00510756157046645,
0.00253517027291038, 0.0367392896330252, 0.0247155201151530,
0.0236961507193769, 0.0244489785536281, 0.0255810815239796,
0.0229284339772534, 0.0754874330866043, 0.00187010686754213,
0.0283177640136421, 0.0181641901896983, 0.00716526222398152,
0.00335102693517044, 0.00723069519888006, 0.0205195673169968,
0.0424578001386714, 0.0549250738280118, 0.0251859150300943,
0.0363718930288547, 0.0286542390115604, 0.0040747026717118,
2.96338347922989e-05, 7.339304105775e-05, 0.000684183816863362,
0.0224961430715832, 0.0895926273718853, 0.0173283441614964,
0.0216048450012685, 0.0338240812813165, 0.000108376467180745,
1.27474299584679e-05, 1.24817493379906e-05, 0.000113831326534903,
0.00196305624686718, 0.0881260793544163, 0.0119427219412892,
0.0080993678380628, 0.0274177834794264, 1.85689222145469e-05,
1.47732060306367e-05, 9.70187429956515e-06, 4.11347163271527e-05,
0.000247367649218510, 0.0547082624494129, 0.00583797407001605
)), .Names = c("theta", "mse", "which", "n", "sd"), row.names = as.integer(c(NA,
72)), class = "data.frame")
`mseD` <-
structure(c(0.0852596219067738, 0.138479576048634, 0.193507136067808,
0.223529518482184, 0.245455466526454, 0.341558022898709, 0.544813533836584,
0.210586753758435, 0.0290951016985412, 0.126771578910001, 0.591476138849711,
0.40232462480872, 0.4268318095596, 0.442718458403334, 0.470541003675002,
0.670621206216728, 1.14731088927409, 0.0400663303506093, 0.0754028115086399,
0.836038742450519, 0.618681139676716, 0.610478672783002, 0.60857532886577,
0.636975551616724, 0.722365673423229, 1.85009248664067, 0.0284136355846793,
0.0214264548026244, 0.89295045527083, 0.798897190623, 0.789864005985535,
0.79277653093417, 0.75705003864092, 0.806649607936729, 1.31370459060386,
0.0108675604782136), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`mseDF` <-
c(0.11675274690557, 0.129732606691582, 0.224869800307634, 0.255905594541060,
0.256476071493035, 0.333151627730394, 0.558285515316407, 0.223460560950291,
0.0361318787980603, 0.156423947104345, 0.52455414752344, 0.42580574616558,
0.398787266601439, 0.413516965045608, 0.449220316054786, 0.700459052529701,
1.14160987755915, 0.0370537351186443, 0.0600041364510462, 0.90050428183714,
0.60506303753646, 0.614548516613525, 0.586962456595812, 0.64573842993309,
0.717904283345766, 1.85259080504198, 0.0215791273467595, 0.0176598056723895,
0.953789162530844, 0.76455950109146, 0.779904299143822, 0.795449770079783,
0.752567081666784, 0.85301549501212, 1.41974502957715, 0.012564912128548,
0.913337528827138, 1.09671643879923, 1.05753636551142, 1.00297775635174,
1.01715505624527, 1.13453978617827, 1.57723068560817, 1.54455512439716,
0.185443757114687, 0.58591979891721, 1.08415368123961, 0.992188012576585,
1.00005102843258, 1.00051181076304, 1.00540777521766, 1.09758266972169,
2.42096181415489, 0.0911630580745359, 0.186853760920037, 0.962248764510165,
0.99991270668017, 1.00002766065243, 1.00011068307345, 1.00082236502501,
1.00861943104796, 1.94989933834916, 0.0523313272679457, 0.0639968020757109,
0.9516869119359, 0.999953160848284, 1.00007571990428, 0.999959832848587,
1.00021793502312, 1.00222013449796, 1.16441526267162, 0.0379471770402344
)
`mseF` <-
structure(c(0.877381874465912, 1.09728885346222, 0.997657163610547,
1.00077812144985, 1.01226537293687, 1.09514496862311, 1.52331411039183,
1.47165492582176, 0.154645228185468, 0.49549396583126, 1.06916748154167,
0.995451011685783, 1.00007376701679, 1.00065451633549, 1.00503053891596,
1.10562358590040, 2.27570392091391, 0.101604046826142, 0.233381317798208,
0.946287813712347, 1.00003068585311, 1.00001856376777, 1.00007529373951,
1.00066967519491, 1.01205551384523, 1.97234216473242, 0.0681451156107372,
0.0688450535834039, 0.877898304302363, 0.999978504751123, 1.00006360858646,
0.999945490682645, 1.00028543066256, 1.00163191360360, 1.16625077086151,
0.0336904026560573), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`mseMLE` <-
structure(c(0.0042795962548916, 0.00796845314486918, 0.0190722990869763,
0.0263320302057868, 0.0258577227539598, 0.0332230711216016, 0.0362531315639889,
0.0110264857312587, 0.00205082689688391, 0.000989521955609123,
0.00343209777374729, 0.00778473422329033, 0.0108891861617763,
0.0121865514834940, 0.0113913547809333, 0.0101181275875402, 0.00653521349036619,
0.000520281368831264, 0.000309948681922443, 0.00137751298513914,
0.00336910625174822, 0.00514096145167567, 0.00555991398625583,
0.00538625523536175, 0.003662503290538, 0.00271944043200138,
0.000150408361253269, 6.569332846577e-05, 0.000553845490858736,
0.00164608332859659, 0.0024746949045335, 0.00271669558956974,
0.00238354524110274, 0.00174965674540721, 0.000769423302249804,
3.46703070904024e-05), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`n` <-
400
`ns` <-
c(50, 100, 200, 400)
`NSIM` <-
1000
`p` <-
30
`r` <-
c(50, 50, 50, 50, 50, 50, 50, 50, 50, 100, 100, 100, 100, 100,
100, 100, 100, 100, 200, 200, 200, 200, 200, 200, 200, 200, 200,
400, 400, 400, 400, 400, 400, 400, 400, 400, 50, 50, 50, 50,
50, 50, 50, 50, 50, 100, 100, 100, 100, 100, 100, 100, 100, 100,
200, 200, 200, 200, 200, 200, 200, 200, 200, 400, 400, 400, 400,
400, 400, 400, 400, 400)
`savews` <-
function(name=.WSID, d="2007"){
if (!exists(".WSID") && !is.character(name)) stop(".WSID not defined!")
.WSID<<-name
name<-paste(d,name,sep="/")
wsRdata <<- paste(paste("d:/r", name, sep="/"), ".Rdata", sep="/")
wsR <<- paste(paste("d:/r", name, sep="/"), "ws.R", sep="/")
save.image(wsRdata)
dump(ls(envir=.GlobalEnv),wsR)
wsRHistory <<- paste(paste("d:/r", name, sep="/"), ".RHistory", sep="/")
savehistory(wsRHistory)
cat(paste("saved: ", wsRdata), fill=T)
cat(paste("saved: ", wsR), fill=T)
cat(paste("saved: ", wsRHistory), fill=T)
}
`sd` <-
0
`sdD` <-
structure(c(0.00944596679411442, 0.0127781536886754, 0.0150535663224809,
0.0149113978963999, 0.0154116611841645, 0.0243419799136147, 0.0455538549021493,
0.0158672754781823, 0.00556220750621293, 0.0147836623405092,
0.0371189367216821, 0.0283689163302860, 0.0229281330038291, 0.0232919805668042,
0.0249050619068718, 0.0414850418703185, 0.0727185339265568, 0.00707614751082277,
0.00765784200307869, 0.0451597938947851, 0.0274600530673671,
0.0257351129293616, 0.0262202539105937, 0.0284706839427150, 0.029466187452174,
0.118918747812466, 0.00510756157046645, 0.00253517027291038,
0.0367392896330252, 0.0247155201151530, 0.0236961507193769, 0.0244489785536281,
0.0255810815239796, 0.0229284339772534, 0.0754874330866043, 0.00187010686754213
), .Dim = as.integer(c(9, 4)), .Dimnames = list(c("-1", "-0.9",
"-0.6", "-0.3", "0", "0.3", "0.6", "0.9", "1"), c("50", "100",
"200", "400")))
`sdF` <-
structure(c(0.0283177640136421, 0.0181641901896983, 0.00716526222398152,
0.00335102693517044, 0.00723069519888006, 0.0205195673169968,
0.0424578001386714, 0.0549250738280118, 0.0251859150300943, 0.0363718930288547,
0.0286542390115604, 0.0040747026717118, 2.96338347922989e-05,
7.339304105775e-05, 0.000684183816863362, 0.0224961430715832,
0.0895926273718853, 0.0173283441614964, 0.0216048450012685, 0.0338240812813165,
0.000108376467180745, 1.27474299584679e-05, 1.24817493379906e-05,
0.000113831326534903, 0.00196305624686718, 0.0881260793544163,
0.0119427219412892, 0.0080993678380628, 0.0274177834794264, 1.85689222145469e-05,
1.47732060306367e-05, 9.70187429956515e-06, 4.11347163271527e-05,
0.000247367649218510, 0.0547082624494129, 0.00583797407001605
), .Dim = as.integer(c(9, 4)), .Dimnames = list(c("-1", "-0.9",
"-0.6", "-0.3", "0", "0.3", "0.6", "0.9", "1"), c("50", "100",
"200", "400")))
`SDRelativeEfficiency` <-
function(x,y){
mx<-mean(x)
my<-mean(y)
sx<-mean((x-mx)^2)
sy<-mean((y-my)^2)
sxy<-mean((x-mx)*(y-my))
v<-(sx/(my^2)) + (sy*mx^2)/(my^4) - (2*sxy*mx)/(my^3)
sqrt(v/length(x))
}
`SimulateMA1` <-
function(n, theta){
a<-rnorm(n+1)
a[2:(n+1)]-theta*a[1:n]
}
`StartTime` <-
c(8779.51, 15.67, 115156.28, NA, NA)
`th` <-
1
`thDurbin` <-
structure(c(-0.505193951500373, -0.732077854756902, -0.845998599575516,
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0.957704391111456, 0.956170634649812), .Dim = as.integer(c(1000,
9, 4)))
`thExact` <-
structure(c(-0.893522320215802, -0.999999105055822, -0.99999931213595,
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`thFaster` <-
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0.98935715926272, 0.959171013385769, 0.971293769158336, 0.9487781753685,
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0.9899637907751, 0.989938278935857, 0.98996653884848, 0.989990949499583,
0.946404262385015, 0.989940720275548, 0.989990707374288, 0.954963621202055,
0.963083158471328, 0.951643161193663, 0.989944298146652, 0.937540661158174,
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0.989952981652659, 0.989981411066955, 0.981961365063924, 0.949807155252312,
0.945949551292637, 0.989990707374288, 0.95226608095784, 0.98995582987177,
0.989983159141578, 0.974273105330015, 0.98999226743407, 0.989990707374288,
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0.989991761595396, 0.97022202469397, 0.984315470196226, 0.989975188346353,
0.98994336348444, 0.989990707374288, 0.989996779468097, 0.96411098011644,
0.989955053839994, 0.960998840727664, 0.989996721964197, 0.98996134478445,
0.989977427635551, 0.989974783331218, 0.92688557544105, 0.951057506562486,
0.989976353714374, 0.936479401412184, 0.989990707374288, 0.932478000261381,
0.989962330400082, 0.989964420093759, 0.989951359778478, 0.96413609583901,
0.951856471816676, 0.98994621772305, 0.970427689090197, 0.96006426998935,
0.951887570540536, 0.97068130302785, 0.989946297770688, 0.989945506316162,
0.989974083518269, 0.989993770918041, 0.94393559153414, 0.989944800390374,
0.98995116399838, 0.93793825287531, 0.989994985234314, 0.98995950148038,
0.989955088827773, 0.985371952132776, 0.989990707374288, 0.986609256601713,
0.989989043638102, 0.98997316978062, 0.989974571291914, 0.989994589322231,
0.989975189495783, 0.958911679075408, 0.976110506634606, 0.989987505190553,
0.989987152695598, 0.989986168233244, 0.97325922798791, 0.989971622205162,
0.989980827464331, 0.98996386743583, 0.98157728749077, 0.958070142570001,
0.949142991870729, 0.989990707374288, 0.948983834315006, 0.94554214449242,
0.989985568470097, 0.976620715843663, 0.989989071243812, 0.965052628590404,
0.960251597578425, 0.989972165418603, 0.98996243584244, 0.968442693403293,
0.989945588713662, 0.957650292628071, 0.989958176229167, 0.98998166959136,
0.989990707374288, 0.960636950851083, 0.917331285170413, 0.989973040321875,
0.96277112885927, 0.978088716812533, 0.978293610623147, 0.957196628699003,
0.950353516177803, 0.989968198479698, 0.989994677828277, 0.989994186861637,
0.989985809117972, 0.966360972847722, 0.989949849713952, 0.989990707374288,
0.949723916306772, 0.935238344937086, 0.962119091849666, 0.989969137960257,
0.989992535140702, 0.989957880225417, 0.96023334701309, 0.952345910578297,
0.989972762218785, 0.983179056109196, 0.967850389250098, 0.989982293895738,
0.989990707374288, 0.958229148226213, 0.963417794475312, 0.957049895312044,
0.989961648051597, 0.967079149117618, 0.989968781505903, 0.947285688824292,
0.939778538384208, 0.970295088827924, 0.953289572288478, 0.951665278500718,
0.96797246117563, 0.989990707374288, 0.989951869581504, 0.95678725195980,
0.911569173713672, 0.971716498006532, 0.989994862790108, 0.98998899197533,
0.97853353396475, 0.98996987648569, 0.989938001311722, 0.94675675513057,
0.98997179349018, 0.989976459967525, 0.989965933872777, 0.953326655360883,
0.957557637925183, 0.989994187287625, 0.961063390842468, 0.989988931062427,
0.989948171758638, 0.953695013516206, 0.989990707374288, 0.955462304270877,
0.98996575319494, 0.946317174766554, 0.989965855463484, 0.989990707374288,
0.989984306340957, 0.989990707374288, 0.930371116733438, 0.989993106099177,
0.941221224677767, 0.989961388294757, 0.989977838985278, 0.989946555392008,
0.957987359342403, 0.964380894121846, 0.989991923126764, 0.989971541148878,
0.98995074472796, 0.989989617580953, 0.989998338163392, 0.989990707374288,
0.946625160719086, 0.95454958907259, 0.959871954842608, 0.98997882007927,
0.989989931227892, 0.989990707374288, 0.9899675707278, 0.989953441523397,
0.951277096530686, 0.989990707374288, 0.989965925439709, 0.931692926440875,
0.974944915289133, 0.958227549435528, 0.989991042274198, 0.956172366525755,
0.989960329045193, 0.956287782716636, 0.962914216034077, 0.937612392854972,
0.989982477621454, 0.969621820785658, 0.97565025591063, 0.950550991255493,
0.960644447723413, 0.989960225862721, 0.968263511702066, 0.989994038211456,
0.989981355158863, 0.97945431411883, 0.98997136552889, 0.942562565286747,
0.989959865262683, 0.989961370111702, 0.989977512632921, 0.981864517977978,
0.94322303056311, 0.989995711258383, 0.989983333418133, 0.94576071626285,
0.96155530486712, 0.984408782052738, 0.989976367889958, 0.985998576200446,
0.989961653311678, 0.97359973277061, 0.989943243383412, 0.904222281835213,
0.989944334746194, 0.989969982722552, 0.989990707374288, 0.958396914571433,
0.989990707374288, 0.989999451940087, 0.98995231648568, 0.989979991270219,
0.989945124812562), .Dim = as.integer(c(1000, 9, 4)))
`ths` <-
c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1)
`thsDF` <-
c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6,
-0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6,
0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9,
-0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3,
0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9,
-0.6, -0.3, 0, 0.3, 0.6, 0.9, 1)
`TimeNeeded` <-
c(4882, 3.47, 4892.47, NA, NA)
`varAsy` <-
structure(c(0, 0.0038, 0.0128, 0.0182, 0.02, 0.0182, 0.0128,
0.0038, 0, 0, 0.0019, 0.0064, 0.0091, 0.01, 0.0091, 0.0064, 0.0019,
0, 0, 0.00095, 0.0032, 0.00455, 0.005, 0.00455, 0.0032, 0.00095,
0, 0, 0.000475, 0.0016, 0.002275, 0.0025, 0.002275, 0.0016, 0.000475,
0), .Dim = as.integer(c(9, 4)), .Dimnames = list(c("-1", "-0.9",
"-0.6", "-0.3", "0", "0.3", "0.6", "0.9", "1"), c("50", "100",
"200", "400")))
`varD` <-
structure(c(0.0215454539740421, 0.0355385926531359, 0.0810374532151046,
0.103215079214688, 0.102689958143682, 0.097258982114508, 0.0629761887015067,
0.0303058917580344, 0.0256111633671993, 0.00169726620778251,
0.00422930769367312, 0.0169320716872129, 0.0248045092496316,
0.0273383357162713, 0.0240097080420541, 0.0150956801102876, 0.00377949492313768,
0.00254382197146816, 0.000511351141356541, 0.00132062484581335,
0.00520308442913099, 0.00833328057366481, 0.0091213662194554,
0.00845613617121962, 0.00507489655545834, 0.00118935891694148,
0.000584533571386229, 0.000203114437158572, 0.000530254306780892,
0.00198455548309070, 0.00309616747491279, 0.00341254519225575,
0.00315048787933736, 0.00216673162982761, 0.000524229993927595,
0.000183965967612685), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`varF` <-
structure(c(0.00308650183617138, 0.00726684903257946, 0.0189174336790314,
0.0262041466238357, 0.0248517949454411, 0.0289264681922614, 0.0213392468133938,
0.00734501053409066, 0.00543932232302551, 0.00104540187894235,
0.00309090321563771, 0.00782808000792289, 0.0108968856974042,
0.0120705316991421, 0.0109523053285428, 0.00850807753165944,
0.00286599600579265, 0.00196339854855318, 0.000600592387711185,
0.00142897595509575, 0.00337206692495374, 0.00514586558654926,
0.0055367762932786, 0.00533719450128527, 0.0035158450133794,
0.00134241042365647, 0.00083591084685058, 0.00037875792288014,
0.000625077105569043, 0.00164527186747833, 0.00247073789252326,
0.00270926219503928, 0.00236842543943133, 0.00172773411002612,
0.000646431959609721, 0.000380735473363482), .Dim = as.integer(c(9,
4)), .Dimnames = list(c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3",
"0.6", "0.9", "1"), c("50", "100", "200", "400")))
`varMLE` <-
structure(c(0.0032318931919389, 0.00792244701280292, 0.0188719401237835,
0.0262268050885692, 0.0251503387567329, 0.0315201128627037, 0.0305683145565986,
0.00616038247911884, 0.00195949497145156, 0.000768945469133765,
0.00326744949665262, 0.0077924565660353, 0.0108977764405935,
0.0120782350313702, 0.0109978064522021, 0.00930556856467576,
0.00392783727952318, 0.000494792321397719, 0.000240543811509395,
0.0013557806806819, 0.0033721640770552, 0.00514595393197431,
0.0055371814266538, 0.00534018118648114, 0.0035506507507401,
0.00216220640374505, 0.000143615842595317, 5.06817028221104e-05,
0.000549739971570641, 0.00164523783314534, 0.0024709203665131,
0.00270911353158115, 0.00236899124528901, 0.00172980430355037,
0.000709280180124158, 3.29614687971116e-05), .Dim = as.integer(c(9,
4)), .Dimnames = list(c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3",
"0.6", "0.9", "1"), c("50", "100", "200", "400")))
`which` <-
structure(as.integer(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2)), .Label = c("Durbin",
"faster"), class = "factor")
`wsR` <-
"d:/r/2007/FitARMA/Durbin/ws.R"
`wsRdata` <-
"d:/r/2007/FitARMA/Durbin/.Rdata"
`wsRHistory` <-
"d:/r/2007/FitARMA/Durbin/.RHistory"
`x` <-
c(2.48453048802541e-13, 2.46181771694045e-13, 2.30864926563964e-13,
2.13483094251015e-11, 1.53100147923411e-13, 4.71991506246304e-13,
2.50552079262339e-13, 1.22068872909765e-13, 0.000198092853730011,
2.50282679431763e-13, 2.41588084677674e-13, 5.71145946403535e-11,
8.19220460421304e-10, 2.48999528672724e-13, 4.28100177316921e-10,
2.49876202328641e-13, 2.26197046658255e-13, 2.87477138832275e-10,
2.21415597368698e-11, 2.4823915485465e-13, 2.34109308036952e-13,
2.48872827456807e-13, 2.48020307141953e-13, 2.51789739621763e-13,
1.7827043647552e-13, 2.86304295371817e-13, 1.55247915031774e-13,
1.14778275667308e-13, 2.49999113890656e-13, 2.22351145574526e-13,
1.84500022859710e-13, 5.63651951500726e-13, 2.4861947492319e-13,
2.50110625490459e-13, 2.49861690189877e-13, 1.5450477191716e-15,
1.32284364302021e-13, 2.16437722961129e-13, 2.46512006140122e-13,
5.79070644444051e-14, 2.04356995899919e-13, 2.37555875742419e-13,
2.49828809459003e-13, 3.0089898889731e-13, 1.96931340389406e-13,
0.000328911714331826, 2.52025936853705e-13, 2.49411234365073e-13,
2.14367756252573e-13, 2.49195478770196e-13, 2.29750516683023e-13,
1.61096254359275e-13, 2.32914288135051e-11, 2.33644618769598e-13,
2.49385911826471e-13, 0.00253095497268347, 4.21733172319594e-13,
2.46777532460483e-13, 2.32529635658433e-12, 2.31530060313556e-13,
3.3071766945904e-15, 2.49835980870963e-13, 2.33376392190693e-13,
2.5000172180672e-13, 2.35564502844942e-13, 2.49928516698681e-13,
1.45485982853008e-10, 6.45366914311304e-14, 2.49683838740645e-13,
7.6210724888714e-12, 1.09764340787011e-12, 2.0411214064386e-13,
1.28171293458433e-10, 3.75732336196887e-10, 2.49899064452662e-13,
0.000532082802500656, 1.10098930428547e-11, 0.00178271177131892,
1.73405429099870e-13, 1.25949912283358e-13, 2.53274402379707e-12,
2.69278800586831e-13, 1.1172250535815e-11, 2.50130009318136e-13,
2.25845646062231e-13, 2.34576551625493e-13, 2.50314470650384e-13,
0.000337025446660071, 2.49968879932715e-13, 2.18582924289155e-13,
0.000404353592162524, 2.50493773747595e-13, 1.58006123540756e-13,
1.56900901540751e-09, 4.9422319010401e-14, 2.48083465230061e-13,
2.49278484643164e-13, 2.49645883033402e-13, 2.49585077969900e-13,
2.49993335223447e-13, 2.50025749691422e-13, 2.44856168516673e-13,
9.6360700685454e-12, 2.49990439586738e-13, 2.50004055953093e-13,
4.96853490600136e-12, 2.50218806714189e-13, 2.49567220090954e-13,
3.07716255743166e-13, 2.50159167984271e-13, 2.21452705677834e-13,
2.60692348904117e-13, 1.90715423515792e-13, 2.50306743587421e-13,
2.50457654741141e-13, 2.55083342116754e-13, 2.52078496612803e-13,
6.62650720526068e-12, 3.22155094565511e-09, 2.49759825059013e-13,
2.40782850916460e-13, 2.59529429388756e-13, 2.46761910729656e-13,
2.49833459056231e-13, 8.40776461004088e-13, 2.51758865250352e-13,
5.32949845414217e-12, 2.04372359919498e-13, 0.000866947782448388,
2.55123245217351e-13, 2.50000903570203e-13, 2.48268016125991e-13,
2.4647897847842e-13, 1.97601115213155e-13, 2.66862796681217e-13,
2.50684054770631e-13, 0.000684584946350546, 2.49649900097054e-13,
2.49979826614290e-13, 2.53751211357121e-13, 2.37204343524770e-13,
2.33257543099306e-13, 3.49414660990405e-11, 0.000341383235420156,
4.01700751241699e-14, 2.31095337825428e-13, 2.49834537168761e-13,
9.86193258524107e-10, 0.000166051688675188, 2.5260977694479e-13,
2.50098505538417e-13, 7.45696325269729e-13, 3.82976015223705e-13,
1.42824352721554e-12, 2.49977365577248e-13, 2.2199331939368e-13,
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0.000867640763880458, 1.15436663956571e-13, 2.49395560542336e-13,
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2.36328789301914e-13, 2.51180260807708e-13, 2.86472958884279e-10,
2.69945032940463e-11, 2.50004602187551e-13, 2.43522627290925e-13,
2.50076032146267e-13, 2.49004795686073e-13, 1.91304297107974e-13,
2.98303976755244e-13, 2.49822024147920e-13, 2.43357933296463e-13,
0.000806362410480184, 0.000130777254598822, 1.94097287412401e-13,
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2.50009873602778e-13, 0.000538269787614724, 6.34107858804461e-17,
3.81052712696891e-14, 2.56792889304843e-13, 2.49878097901609e-13,
2.42145727416512e-13, 1.94050596512371e-14, 2.29559858470596e-13,
2.42055287131679e-13, 1.90162340209898e-13, 2.47546232426845e-13,
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2.49701260517976e-13, 7.48919322821358e-14, 3.52475873975236e-10,
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1.61537034371728e-14, 2.48659593248473e-13, 2.46722004904752e-13,
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2.48091518890864e-13, 1.85234069424014e-11, 7.44555873160307e-14,
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1.49283262742501e-14, 1.57099039985152e-15, 8.98671866851795e-14,
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1.58261734980519e-13, 2.38505542092979e-13, 8.16407075191102e-15,
2.51612239675450e-13, 1.55549892688402e-13, 2.49607576882776e-13,
2.50522500052709e-13, 2.49988935709647e-13, 4.75638899623347e-16,
2.34175848053548e-13, 2.22731669483431e-13, 2.51121700314716e-13,
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2.42505423657921e-13, 2.49968829975791e-13, 2.50111697982217e-13,
2.41149707605714e-13, 2.97735319297248e-13, 2.50022158169933e-13,
2.29752270244862e-13, 2.50004867755413e-13, 2.44376451861672e-13,
2.50693650298106e-13, 2.46978577219195e-13, 2.4826499109681e-13,
3.08750200827091e-13, 2.49988051104299e-13, 2.49851238332400e-13,
0.000220512647379041, 3.26940851855422e-13, 1.83481483192953e-13,
1.61641492327704e-13, 2.18090671567599e-13, 2.27887051612226e-13,
1.97629148746441e-13)
`y` <-
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`z` <-
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-0.808450198194853, -0.280107015166717, 0.311734627319564, 1.03239663323909,
-1.99062897181344, 2.12396878263946, -2.48309808932067, 2.10981723807042,
0.391951308427976, -2.56091706037479, 0.42822992595961, 1.63494434867086,
0.0453008408054061, -0.376601479798355, 0.474672707989279, -2.04067666738482,
2.39688785771865, -2.00348092059627, 1.97721771615201, -1.08190487189067,
1.26993089962989, -0.969670850473468, 1.90939669973723, -3.02413303759514,
1.91271875747835, -1.00845946092298, 0.509396371488446, -0.232782551799890,
-1.02348957128967, 0.75022307817702, -0.482020929954165, -0.536165546782806,
1.65904915697995, -1.87290520509665, 2.29051011727869, -1.59322318488173,
-0.711689400856962, 1.56229381709212, -0.423675075086676, 0.454142055578678,
-2.14948027065742, 3.0832377190652, 0.0201390263674266, -2.14555611058825,
0.39432668769146, 0.580744036251098, 1.30098686301235, -2.10442328350552,
0.475598624273991, 1.00097996587868, -1.10424853776643, -0.131314243424547,
-0.488934219670427, 1.64141783656820, -0.454612085415507, 0.166634833786231,
-1.10295993033846, 0.486833216137748, 0.316548660459325, 1.00199380757655,
0.132106059841111, 0.99885366462842, -0.73714578983147, -1.61427167643284,
-1.43695320745595, 2.33725776830302, -1.32109989108406, 0.40188863102941,
0.623653039823362, -0.461889385628364, 1.49452776700232, -1.27604865474553,
0.00313579997420943, 0.450442507398822, -0.428084756002706, 0.229790167214372,
1.67221666533907, -3.10171794073968, -0.168265703922087, 0.252008329491316,
0.679903978391897, 0.543817648618975, -1.14651881254872, 0.651019618491821
)
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`ans` <-
structure(list(formula = quote(mse ~ theta | which * n), as.table = FALSE,
aspect.fill = TRUE, legend = NULL, panel = function(x,y,subscripts=T){
panel.xyplot(x,y)
panel.abline(h=1, lty=2, col="red")
ciLo<-y-1.96*mse.df$sd[subscripts]
ciHi<-y+1.96*mse.df$sd[subscripts]
lsegments(x,ciLo,x,ciHi,lwd=3)
cat(x, fill=T)
cat(ciLo, fill=T)
cat(ciHi, fill=T)
}
, page = NULL, layout = NULL, skip = FALSE, strip = function (...)
{
dots <- list(...)
do.call("strip.default", updateList(dots, args))
}, strip.left = FALSE, xscale.components = function (lim,
packet.number = 0, packet.list = NULL, top = TRUE, ...)
{
comps <- calculateAxisComponents(lim, packet.list = packet.list,
packet.number = packet.number, ...)
list(num.limit = comps$num.limit, bottom = list(ticks = list(at = comps$at,
tck = 1), labels = list(at = comps$at, labels = comps$labels,
check.overlap = comps$check.overlap)), top = top)
}, yscale.components = function (lim, packet.number = 0,
packet.list = NULL, right = TRUE, ...)
{
comps <- calculateAxisComponents(lim, packet.list = packet.list,
packet.number = packet.number, ...)
list(num.limit = comps$num.limit, left = list(ticks = list(at = comps$at,
tck = 1), labels = list(at = comps$at, labels = comps$labels,
cex = 1, check.overlap = comps$check.overlap)), right = right)
}, axis = function (side = c("top", "bottom", "left", "right"),
scales, components, as.table, labels = c("default", "yes",
"no"), ticks = c("default", "yes", "no"), ...)
{
side <- match.arg(side)
labels <- match.arg(labels)
ticks <- match.arg(ticks)
row <- lattice.getStatus("current.focus.row")
column <- lattice.getStatus("current.focus.column")
panel.layout <- trellis.currentLayout("panel")
layout.dim <- dim(panel.layout)
determineStatus <- function(x) {
if (is.null(x) || (is.logical(x) && !x))
FALSE
else TRUE
}
lastPanel <- function() {
((pn <- panel.number()) > 0 && pn == max(panel.layout))
}
atBoundary <- function() {
switch(side, top = if (as.table)
row == 1
else row == layout.dim[1], bottom = if (!as.table)
row == 1
else row == layout.dim[1], left = column == 1, right = column ==
layout.dim[2] || lastPanel())
}
do.ticks <- switch(ticks, yes = TRUE, no = FALSE, default = scales$draw &&
determineStatus(components[[side]]) && (if (scales$relation ==
"same")
atBoundary()
else TRUE))
do.labels <- switch(labels, yes = TRUE, no = FALSE, default = scales$draw &&
(if (scales$relation == "same") {
atBoundary() && switch(side, top = rep(scales$alternating,
length = column)[column] %in% c(2, 3), bottom = rep(scales$alternating,
length = column)[column] %in% c(1, 3), left = rep(scales$alternating,
length = row)[row] %in% c(1, 3), right = rep(scales$alternating,
length = row)[row] %in% c(2, 3))
}
else TRUE))
if (do.ticks || do.labels) {
comp.list <- switch(side, top = if (is.logical(components[["top"]]) &&
components[["top"]])
components[["bottom"]]
else components[["top"]], bottom = components[["bottom"]],
left = components[["left"]], right = if (is.logical(components[["right"]]) &&
components[["right"]])
components[["left"]]
else components[["right"]])
scales.tck <- switch(side, left = , bottom = scales$tck[1],
right = , top = scales$tck[2])
panel.axis(side = side, at = comp.list$ticks$at,
labels = comp.list$labels$labels, draw.labels = do.labels,
check.overlap = comp.list$labels$check.overlap,
outside = TRUE, tick = do.ticks, tck = scales.tck *
comp.list$ticks$tck, ...)
}
}, xlab = expression(theta[1]), ylab = "relative efficiency",
xlab.default = "theta", ylab.default = "mse", main = NULL,
sub = NULL, x.between = 0, y.between = 0, par.settings = NULL,
plot.args = NULL, lattice.options = NULL, par.strip.text = NULL,
index.cond = list(as.integer(c(1, 2)), as.integer(c(1, 2,
3, 4))), perm.cond = as.integer(c(1, 2)), condlevels = structure(list(
which = c("Durbin", "faster"), n = c("50", "100", "200",
"400")), .Names = c("which", "n")), call = quote(xyplot.formula(x = mse ~
theta | which * n, data = mse.df, panel = function(x,
y, subscripts = T) {
panel.xyplot(x, y)
panel.abline(h = 1, lty = 2, col = "red")
ciLo <- y - 1.96 * mse.df$sd[subscripts]
ciHi <- y + 1.96 * mse.df$sd[subscripts]
lsegments(x, ciLo, x, ciHi, lwd = 3)
cat(x, fill = T)
cat(ciLo, fill = T)
cat(ciHi, fill = T)
}, strip = strip.custom(bg = 0), xlab = expression(theta[1]),
ylab = "relative efficiency")), x.scales = structure(list(
draw = TRUE, axs = "r", tck = c(1, 1), tick.number = 5,
lty = FALSE, lwd = FALSE, cex = c(FALSE, FALSE), rot = c(FALSE,
FALSE), font = FALSE, fontfamily = FALSE, fontface = FALSE,
at = FALSE, labels = FALSE, col = FALSE, col.line = FALSE,
alpha = FALSE, alpha.line = FALSE, log = FALSE, alternating = c(1,
2), relation = "same", abbreviate = FALSE, minlength = 4,
limits = NULL, format = NULL), .Names = c("draw", "axs",
"tck", "tick.number", "lty", "lwd", "cex", "rot", "font",
"fontfamily", "fontface", "at", "labels", "col", "col.line",
"alpha", "alpha.line", "log", "alternating", "relation",
"abbreviate", "minlength", "limits", "format")), y.scales = structure(list(
draw = TRUE, axs = "r", tck = c(1, 1), tick.number = 5,
lty = FALSE, lwd = FALSE, cex = c(FALSE, FALSE), rot = c(FALSE,
FALSE), font = FALSE, fontfamily = FALSE, fontface = FALSE,
at = FALSE, labels = FALSE, col = FALSE, col.line = FALSE,
alpha = FALSE, alpha.line = FALSE, log = FALSE, alternating = c(1,
2), relation = "same", abbreviate = FALSE, minlength = 4,
limits = NULL, format = NULL), .Names = c("draw", "axs",
"tck", "tick.number", "lty", "lwd", "cex", "rot", "font",
"fontfamily", "fontface", "at", "labels", "col", "col.line",
"alpha", "alpha.line", "log", "alternating", "relation",
"abbreviate", "minlength", "limits", "format")), panel.args.common = list(),
panel.args = list(structure(list(x = c(-1, -0.9, -0.6, -0.3,
0, 0.3, 0.6, 0.9, 1), y = c(0.11675274690557, 0.129732606691582,
0.224869800307634, 0.255905594541060, 0.256476071493035,
0.333151627730394, 0.558285515316407, 0.223460560950291,
0.0361318787980603), subscripts = as.integer(c(1, 2, 3, 4,
5, 6, 7, 8, 9))), .Names = c("x", "y", "subscripts")), structure(list(
x = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), y = c(0.913337528827138,
1.09671643879923, 1.05753636551142, 1.00297775635174,
1.01715505624527, 1.13453978617827, 1.57723068560817,
1.54455512439716, 0.185443757114687), subscripts = as.integer(c(37,
38, 39, 40, 41, 42, 43, 44, 45))), .Names = c("x", "y",
"subscripts")), structure(list(x = c(-1, -0.9, -0.6, -0.3,
0, 0.3, 0.6, 0.9, 1), y = c(0.156423947104345, 0.52455414752344,
0.42580574616558, 0.398787266601439, 0.413516965045608, 0.449220316054786,
0.700459052529701, 1.14160987755915, 0.0370537351186443),
subscripts = as.integer(c(10, 11, 12, 13, 14, 15, 16,
17, 18))), .Names = c("x", "y", "subscripts")), structure(list(
x = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), y = c(0.58591979891721,
1.08415368123961, 0.992188012576585, 1.00005102843258,
1.00051181076304, 1.00540777521766, 1.09758266972169,
2.42096181415489, 0.0911630580745359), subscripts = as.integer(c(46,
47, 48, 49, 50, 51, 52, 53, 54))), .Names = c("x", "y",
"subscripts")), structure(list(x = c(-1, -0.9, -0.6, -0.3,
0, 0.3, 0.6, 0.9, 1), y = c(0.0600041364510462, 0.90050428183714,
0.60506303753646, 0.614548516613525, 0.586962456595812, 0.64573842993309,
0.717904283345766, 1.85259080504198, 0.0215791273467595),
subscripts = as.integer(c(19, 20, 21, 22, 23, 24, 25,
26, 27))), .Names = c("x", "y", "subscripts")), structure(list(
x = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), y = c(0.186853760920037,
0.962248764510165, 0.99991270668017, 1.00002766065243,
1.00011068307345, 1.00082236502501, 1.00861943104796,
1.94989933834916, 0.0523313272679457), subscripts = as.integer(c(55,
56, 57, 58, 59, 60, 61, 62, 63))), .Names = c("x", "y",
"subscripts")), structure(list(x = c(-1, -0.9, -0.6, -0.3,
0, 0.3, 0.6, 0.9, 1), y = c(0.0176598056723895, 0.953789162530844,
0.76455950109146, 0.779904299143822, 0.795449770079783, 0.752567081666784,
0.85301549501212, 1.41974502957715, 0.012564912128548), subscripts = as.integer(c(28,
29, 30, 31, 32, 33, 34, 35, 36))), .Names = c("x", "y", "subscripts"
)), structure(list(x = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6,
0.9, 1), y = c(0.0639968020757109, 0.9516869119359, 0.999953160848284,
1.00007571990428, 0.999959832848587, 1.00021793502312, 1.00222013449796,
1.16441526267162, 0.0379471770402344), subscripts = as.integer(c(64,
65, 66, 67, 68, 69, 70, 71, 72))), .Names = c("x", "y", "subscripts"
))), packet.sizes = structure(c(9, 9, 9, 9, 9, 9, 9, 9), .Dim = structure(as.integer(c(2,
4)), .Names = c("which", "n")), .Dimnames = structure(list(
which = c("Durbin", "faster"), n = c("50", "100", "200",
"400")), .Names = c("which", "n"))), x.limits = c(-1.14,
1.14), y.limits = c(-0.156022871013296, 2.58954959729673),
x.used.at = NULL, y.used.at = NULL, x.num.limit = NULL, y.num.limit = NULL,
aspect.ratio = 1, prepanel.default = function (x, y, type,
subscripts, groups = NULL, ...)
{
if (any(!is.na(x)) && any(!is.na(y))) {
ord <- order(as.numeric(x))
if (!is.null(groups)) {
gg <- groups[subscripts]
dx <- unlist(lapply(split(as.numeric(x)[ord],
gg[ord]), diff))
dy <- unlist(lapply(split(as.numeric(y)[ord],
gg[ord]), diff))
}
else {
dx <- diff(as.numeric(x[ord]))
dy <- diff(as.numeric(y[ord]))
}
list(xlim = if (is.numeric(x)) range(x, finite = TRUE) else levels(x),
ylim = if (is.numeric(y)) range(y, finite = TRUE) else levels(y),
dx = dx, dy = dy)
}
else list(xlim = c(NA, NA), ylim = c(NA, NA), dx = NA,
dy = NA)
}, prepanel = NULL), .Names = c("formula", "as.table", "aspect.fill",
"legend", "panel", "page", "layout", "skip", "strip", "strip.left",
"xscale.components", "yscale.components", "axis", "xlab", "ylab",
"xlab.default", "ylab.default", "main", "sub", "x.between", "y.between",
"par.settings", "plot.args", "lattice.options", "par.strip.text",
"index.cond", "perm.cond", "condlevels", "call", "x.scales",
"y.scales", "panel.args.common", "panel.args", "packet.sizes",
"x.limits", "y.limits", "x.used.at", "y.used.at", "x.num.limit",
"y.num.limit", "aspect.ratio", "prepanel.default", "prepanel"
), class = "trellis")
`BiasD` <-
structure(c(-0.0690303126917658, -0.110890543463780, -0.195813806698519,
-0.0846684220656435, -0.00762767369911398, 0.138429122342300,
0.172603596196988, 0.133413910796372, 0.105162207923409, -0.110967438223765,
-0.154576056080638, -0.25844812651337, -0.207160704026511, 0.00503717948896988,
0.155148737854047, 0.276332124402382, 0.150069477041232, 0.115917648692742,
-0.0838443889592096, -0.164779279461025, -0.311479210945394,
-0.235147403044395, 0.0133201563429544, 0.218763795788636, 0.317350470909664,
0.169136106423357, 0.108738543240135), .Dim = as.integer(c(9,
3)), .Dimnames = list(c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3",
"0.6", "0.9", "1"), c("50", "100", "200")))
`BiasF` <-
structure(c(-0.974703251797407, -0.895073111017522, -0.570278859547403,
-0.295977976206187, -0.00325180241045575, 0.387319092212454,
0.576355057215505, 0.864590639234944, 0.887893809592945, -0.948659708558226,
-0.913473599597479, -0.599669202616826, -0.368261774822904, -0.00224587735315031,
0.255714760354340, 0.617526799119699, 0.908749002809955, 0.95647809920068,
-0.983338598345855, -0.892423731451171, -0.618626815816272, -0.315250157081183,
0.0216282769685765, 0.296129566185396, 0.577019401636057, 0.896033294320301,
0.964594775053182), .Dim = as.integer(c(9, 3)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200")))
`BiasMLE` <-
structure(c(-0.979078091289149, -0.900288239954496, -0.570587385865598,
-0.2960373847592, -0.00323382934460706, 0.387907488043804, 0.583598488220127,
0.954974104644666, 0.971312372599029, -0.963845108072498, -0.908332066936113,
-0.599682785539631, -0.368280578196013, -0.00223964837860805,
0.255865621442613, 0.619632938403792, 0.967354887285601, 0.990077844307588,
-0.99355897308926, -0.894232282669568, -0.618622948808761, -0.315263104368087,
0.0216317292605715, 0.296158337829338, 0.577139194464239, 0.924420108966324,
0.999999534230659), .Dim = as.integer(c(9, 3)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200")))
`cleanws` <-
function(){
rm(list=ls(envir=.GlobalEnv), envir=.GlobalEnv)
load(file=".Rdata", envir=.GlobalEnv)
}
`contents` <-
c("cleanws", "last.warning", "loadws", "savews")
`DurbinMA1` <-
function(z, p){
phis<-c(1, -(ar.burg(z,aic=FALSE, order.max=p)$ar))
p1<-length(phis)
sum(phis[1:(p1-1)]*phis[2:p1])/sum(phis^2)
}
`effD` <-
structure(c(10.3933952928040, 8.09249758881614, 4.3031935448892,
1.17237894060921, 0.0960621417214903, 0.929123430849498, 3.47886994812772,
7.8136570677916, 10.0508001192620, 11.2706801095058, 8.78346121330523,
3.97204024657359, 1.28121252787489, 0.0382457594033912, 0.691863090485676,
4.04942974418599, 7.6394225816309, 9.18801075221118, 10.5774698071424,
8.07648172826462, 3.6868152574181, 1.00977169726479, 0.0486416248546263,
0.866827552159416, 3.70061237655753, 6.98832648176569, 10.0339063711565
), .Dim = as.integer(c(9, 3)))
`effF` <-
structure(c(10.7031814402698, 7.15791025140092, 5.18630684865208,
1.88616418285361, 0.315059968586675, 1.07919787286359, 3.75730792280817,
9.11324695487668, 8.99650721146275, 11.5211707655920, 8.59802894517409,
4.09575139148999, 1.35353560323467, 0.0453305116170846, 0.605895251759884,
4.01047776306944, 7.79853893787547, 9.7327277994626, 10.5301154411355,
8.26914333638363, 3.78217717065533, 1.0584263097919, 0.0637302867721177,
0.896697038366487, 3.76500101517305, 6.83978456502129, 10.1319335788826
), .Dim = as.integer(c(9, 3)))
`effMLE` <-
structure(c(10.7038435574625, 7.15653497705528, 5.1878033701398,
1.92762214898487, 0.316768429894915, 1.07901590554933, 3.75671878938855,
9.11209869138059, 8.99599646731858, 11.5249707650290, 8.59823183815812,
4.09592741362995, 1.35383034132954, 0.0453337399219675, 0.605816988191265,
4.01035622433275, 7.79846037508116, 9.73264081870544, 10.5301384525958,
8.26912536746038, 3.78213652547288, 1.05847126605346, 0.0637380875621592,
0.896662248443934, 3.76501956786495, 6.83969929128132, 10.1318521457164
), .Dim = as.integer(c(9, 3)))
`i` <-
as.integer(1000)
`ith` <-
as.integer(9)
`jn` <-
as.integer(4)
`last.warning` <-
structure(list("one-diml optimization by Nelder-Mead is unreliable: use optimize" = quote(optim(xinit,
EntropyARMA, method = "Nelder-Mead"))), .Names = "one-diml optimization by Nelder-Mead is unreliable: use optimize")
`loadws` <-
function(name, d="2007"){
name<-paste(d,name,sep="/")
ws <- paste(paste("d:/r",name,sep="/"),".Rdata",sep="/")
wsH <- paste(paste("d:/r",name,sep="/"),".RHistory",sep="/")
cat(ws, fill=T)
load(ws, .GlobalEnv)
loadhistory(wsH)
cat(paste("loaded: ", ws), fill=T)
cat(paste("loaded: ", wsH), fill=T)
}
`m` <-
structure(c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = as.integer(c(9,
4)), .Dimnames = list(c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3",
"0.6", "0.9", "1"), c("50", "100", "200", "400")))
`MeanD` <-
structure(c(-0.830674961340544, -0.751543308736522, -0.467316909249413,
-0.178800712103553, 0.0525225131628362, 0.310366466903903, 0.539758305957765,
0.751389133616283, 0.78810034515066, -0.921833629259487, -0.860282009223144,
-0.550661923534292, -0.272945408029421, 0.0146847641436594, 0.314945245755121,
0.597333611650305, 0.856177648854852, 0.897803019855788, -0.94000223204509,
-0.881879232162987, -0.584260085747275, -0.290189282803636, 0.00486882867447971,
0.302881704367686, 0.599425817199299, 0.883215341559748, 0.93137363145958,
-0.946492241824048, -0.890485901207009, -0.591175399156737, -0.293675980119843,
0.0042046012705598, 0.301061697053718, 0.597884122802736, 0.892127009608985,
0.945168670918339), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`MeanF` <-
structure(c(-0.957641127850552, -0.901537691470074, -0.614784148585509,
-0.288440841640044, 0.0267855908236917, 0.337936080172804, 0.649809109491473,
0.887553713914504, 0.911526208131895, -0.969134405763276, -0.911056821733944,
-0.599761696959371, -0.298452697010590, 0.0109598921634137, 0.319823822400492,
0.625533166911334, 0.902933043677017, 0.943792878538226, -0.97301692044341,
-0.905306122744766, -0.600554989182073, -0.300382487738434, 0.00531562546392288,
0.307126941909603, 0.610322146766518, 0.906141607241055, 0.962958098109745,
-0.97600331573128, -0.902534672390357, -0.598421356051181, -0.297495933692955,
0.00320791988990020, 0.304099766377127, 0.604560672410883, 0.903735685454766,
0.974529805100112), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`MeanMLE` <-
structure(c(-0.967581873031518, -0.907343608042309, -0.614806448031738,
-0.28853475153753, 0.0270653715286451, 0.341647069185725, 0.675600167473008,
0.969801601948802, 0.990341251612978, -0.985122317655478, -0.912958230071708,
-0.599735209854659, -0.298480955029147, 0.0109724512828785, 0.320113332274474,
0.628668180818271, 0.951100920227747, 0.994902565375118, -0.991654617191251,
-0.904805006257844, -0.60056065922812, -0.300391757110132, 0.0053169296618149,
0.307170371682632, 0.610742587702627, 0.923651558820933, 0.997366345789488,
-0.996118981145822, -0.902157604982305, -0.598421794283246, -0.297500908487687,
0.00320798558602943, 0.304113755833665, 0.604645669613779, 0.907800794979088,
0.99868022738243), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`mse` <-
function(x){sum(x^2)/length(x)}
`mse.df` <-
structure(list(theta = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9,
1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6,
-0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6,
0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9,
-0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3,
0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), mse = c(0.11675274690557,
0.129732606691582, 0.224869800307634, 0.255905594541060, 0.256476071493035,
0.333151627730394, 0.558285515316407, 0.223460560950291, 0.0361318787980603,
0.156423947104345, 0.52455414752344, 0.42580574616558, 0.398787266601439,
0.413516965045608, 0.449220316054786, 0.700459052529701, 1.14160987755915,
0.0370537351186443, 0.0600041364510462, 0.90050428183714, 0.60506303753646,
0.614548516613525, 0.586962456595812, 0.64573842993309, 0.717904283345766,
1.85259080504198, 0.0215791273467595, 0.0176598056723895, 0.953789162530844,
0.76455950109146, 0.779904299143822, 0.795449770079783, 0.752567081666784,
0.85301549501212, 1.41974502957715, 0.012564912128548, 0.913337528827138,
1.09671643879923, 1.05753636551142, 1.00297775635174, 1.01715505624527,
1.13453978617827, 1.57723068560817, 1.54455512439716, 0.185443757114687,
0.58591979891721, 1.08415368123961, 0.992188012576585, 1.00005102843258,
1.00051181076304, 1.00540777521766, 1.09758266972169, 2.42096181415489,
0.0911630580745359, 0.186853760920037, 0.962248764510165, 0.99991270668017,
1.00002766065243, 1.00011068307345, 1.00082236502501, 1.00861943104796,
1.94989933834916, 0.0523313272679457, 0.0639968020757109, 0.9516869119359,
0.999953160848284, 1.00007571990428, 0.999959832848587, 1.00021793502312,
1.00222013449796, 1.16441526267162, 0.0379471770402344), which = structure(as.integer(c(1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2)), .Label = c("Durbin", "faster"), class = "factor"),
n = structure(as.integer(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4,
4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2,
2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4,
4, 4, 4, 4, 4)), .Label = c("50", "100", "200", "400"), class = "factor"),
sd = c(0.00944596679411442, 0.0127781536886754, 0.0150535663224809,
0.0149113978963999, 0.0154116611841645, 0.0243419799136147,
0.0455538549021493, 0.0158672754781823, 0.00556220750621293,
0.0147836623405092, 0.0371189367216821, 0.0283689163302860,
0.0229281330038291, 0.0232919805668042, 0.0249050619068718,
0.0414850418703185, 0.0727185339265568, 0.00707614751082277,
0.00765784200307869, 0.0451597938947851, 0.0274600530673671,
0.0257351129293616, 0.0262202539105937, 0.0284706839427150,
0.029466187452174, 0.118918747812466, 0.00510756157046645,
0.00253517027291038, 0.0367392896330252, 0.0247155201151530,
0.0236961507193769, 0.0244489785536281, 0.0255810815239796,
0.0229284339772534, 0.0754874330866043, 0.00187010686754213,
0.0283177640136421, 0.0181641901896983, 0.00716526222398152,
0.00335102693517044, 0.00723069519888006, 0.0205195673169968,
0.0424578001386714, 0.0549250738280118, 0.0251859150300943,
0.0363718930288547, 0.0286542390115604, 0.0040747026717118,
2.96338347922989e-05, 7.339304105775e-05, 0.000684183816863362,
0.0224961430715832, 0.0895926273718853, 0.0173283441614964,
0.0216048450012685, 0.0338240812813165, 0.000108376467180745,
1.27474299584679e-05, 1.24817493379906e-05, 0.000113831326534903,
0.00196305624686718, 0.0881260793544163, 0.0119427219412892,
0.0080993678380628, 0.0274177834794264, 1.85689222145469e-05,
1.47732060306367e-05, 9.70187429956515e-06, 4.11347163271527e-05,
0.000247367649218510, 0.0547082624494129, 0.00583797407001605
)), .Names = c("theta", "mse", "which", "n", "sd"), row.names = as.integer(c(NA,
72)), class = "data.frame")
`mse2.df` <-
structure(list(theta = c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9,
1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6,
-0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6,
0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9,
-0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3,
0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1), mse = c(0.11675274690557,
0.129732606691582, 0.224869800307634, 0.255905594541060, 0.256476071493035,
0.333151627730394, 0.558285515316407, 0.223460560950291, 0.0361318787980603,
0.156423947104345, 0.52455414752344, 0.42580574616558, 0.398787266601439,
0.413516965045608, 0.449220316054786, 0.700459052529701, 1.14160987755915,
0.0370537351186443, 0.0600041364510462, 0.90050428183714, 0.60506303753646,
0.614548516613525, 0.586962456595812, 0.64573842993309, 0.717904283345766,
1.85259080504198, 0.0215791273467595, 0.0176598056723895, 0.953789162530844,
0.76455950109146, 0.779904299143822, 0.795449770079783, 0.752567081666784,
0.85301549501212, 1.41974502957715, 0.012564912128548, 0.913337528827138,
1.09671643879923, 1.05753636551142, 1.00297775635174, 1.01715505624527,
1.13453978617827, 1.57723068560817, 1.54455512439716, 0.185443757114687,
0.58591979891721, 1.08415368123961, 0.992188012576585, 1.00005102843258,
1.00051181076304, 1.00540777521766, 1.09758266972169, 2.42096181415489,
0.0911630580745359, 0.186853760920037, 0.962248764510165, 0.99991270668017,
1.00002766065243, 1.00011068307345, 1.00082236502501, 1.00861943104796,
1.94989933834916, 0.0523313272679457, 0.0639968020757109, 0.9516869119359,
0.999953160848284, 1.00007571990428, 0.999959832848587, 1.00021793502312,
1.00222013449796, 1.16441526267162, 0.0379471770402344), which = structure(as.integer(c(1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2)), .Label = c("Durbin", "faster"), class = "factor"),
n = structure(as.integer(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4,
4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2,
2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4,
4, 4, 4, 4, 4)), .Label = c("50", "100", "200", "400"), class = "factor"),
sd = c(0.00944596679411442, 0.0127781536886754, 0.0150535663224809,
0.0149113978963999, 0.0154116611841645, 0.0243419799136147,
0.0455538549021493, 0.0158672754781823, 0.00556220750621293,
0.0147836623405092, 0.0371189367216821, 0.0283689163302860,
0.0229281330038291, 0.0232919805668042, 0.0249050619068718,
0.0414850418703185, 0.0727185339265568, 0.00707614751082277,
0.00765784200307869, 0.0451597938947851, 0.0274600530673671,
0.0257351129293616, 0.0262202539105937, 0.0284706839427150,
0.029466187452174, 0.118918747812466, 0.00510756157046645,
0.00253517027291038, 0.0367392896330252, 0.0247155201151530,
0.0236961507193769, 0.0244489785536281, 0.0255810815239796,
0.0229284339772534, 0.0754874330866043, 0.00187010686754213,
0.0283177640136421, 0.0181641901896983, 0.00716526222398152,
0.00335102693517044, 0.00723069519888006, 0.0205195673169968,
0.0424578001386714, 0.0549250738280118, 0.0251859150300943,
0.0363718930288547, 0.0286542390115604, 0.0040747026717118,
2.96338347922989e-05, 7.339304105775e-05, 0.000684183816863362,
0.0224961430715832, 0.0895926273718853, 0.0173283441614964,
0.0216048450012685, 0.0338240812813165, 0.000108376467180745,
1.27474299584679e-05, 1.24817493379906e-05, 0.000113831326534903,
0.00196305624686718, 0.0881260793544163, 0.0119427219412892,
0.0080993678380628, 0.0274177834794264, 1.85689222145469e-05,
1.47732060306367e-05, 9.70187429956515e-06, 4.11347163271527e-05,
0.000247367649218510, 0.0547082624494129, 0.00583797407001605
)), .Names = c("theta", "mse", "which", "n", "sd"), row.names = as.integer(c(NA,
72)), class = "data.frame")
`mseD` <-
structure(c(0.0852596219067738, 0.138479576048634, 0.193507136067808,
0.223529518482184, 0.245455466526454, 0.341558022898709, 0.544813533836584,
0.210586753758435, 0.0290951016985412, 0.126771578910001, 0.591476138849711,
0.40232462480872, 0.4268318095596, 0.442718458403334, 0.470541003675002,
0.670621206216728, 1.14731088927409, 0.0400663303506093, 0.0754028115086399,
0.836038742450519, 0.618681139676716, 0.610478672783002, 0.60857532886577,
0.636975551616724, 0.722365673423229, 1.85009248664067, 0.0284136355846793,
0.0214264548026244, 0.89295045527083, 0.798897190623, 0.789864005985535,
0.79277653093417, 0.75705003864092, 0.806649607936729, 1.31370459060386,
0.0108675604782136), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`mseDF` <-
c(0.11675274690557, 0.129732606691582, 0.224869800307634, 0.255905594541060,
0.256476071493035, 0.333151627730394, 0.558285515316407, 0.223460560950291,
0.0361318787980603, 0.156423947104345, 0.52455414752344, 0.42580574616558,
0.398787266601439, 0.413516965045608, 0.449220316054786, 0.700459052529701,
1.14160987755915, 0.0370537351186443, 0.0600041364510462, 0.90050428183714,
0.60506303753646, 0.614548516613525, 0.586962456595812, 0.64573842993309,
0.717904283345766, 1.85259080504198, 0.0215791273467595, 0.0176598056723895,
0.953789162530844, 0.76455950109146, 0.779904299143822, 0.795449770079783,
0.752567081666784, 0.85301549501212, 1.41974502957715, 0.012564912128548,
0.913337528827138, 1.09671643879923, 1.05753636551142, 1.00297775635174,
1.01715505624527, 1.13453978617827, 1.57723068560817, 1.54455512439716,
0.185443757114687, 0.58591979891721, 1.08415368123961, 0.992188012576585,
1.00005102843258, 1.00051181076304, 1.00540777521766, 1.09758266972169,
2.42096181415489, 0.0911630580745359, 0.186853760920037, 0.962248764510165,
0.99991270668017, 1.00002766065243, 1.00011068307345, 1.00082236502501,
1.00861943104796, 1.94989933834916, 0.0523313272679457, 0.0639968020757109,
0.9516869119359, 0.999953160848284, 1.00007571990428, 0.999959832848587,
1.00021793502312, 1.00222013449796, 1.16441526267162, 0.0379471770402344
)
`mseF` <-
structure(c(0.877381874465912, 1.09728885346222, 0.997657163610547,
1.00077812144985, 1.01226537293687, 1.09514496862311, 1.52331411039183,
1.47165492582176, 0.154645228185468, 0.49549396583126, 1.06916748154167,
0.995451011685783, 1.00007376701679, 1.00065451633549, 1.00503053891596,
1.10562358590040, 2.27570392091391, 0.101604046826142, 0.233381317798208,
0.946287813712347, 1.00003068585311, 1.00001856376777, 1.00007529373951,
1.00066967519491, 1.01205551384523, 1.97234216473242, 0.0681451156107372,
0.0688450535834039, 0.877898304302363, 0.999978504751123, 1.00006360858646,
0.999945490682645, 1.00028543066256, 1.00163191360360, 1.16625077086151,
0.0336904026560573), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`mseMLE` <-
structure(c(0.0042795962548916, 0.00796845314486918, 0.0190722990869763,
0.0263320302057868, 0.0258577227539598, 0.0332230711216016, 0.0362531315639889,
0.0110264857312587, 0.00205082689688391, 0.000989521955609123,
0.00343209777374729, 0.00778473422329033, 0.0108891861617763,
0.0121865514834940, 0.0113913547809333, 0.0101181275875402, 0.00653521349036619,
0.000520281368831264, 0.000309948681922443, 0.00137751298513914,
0.00336910625174822, 0.00514096145167567, 0.00555991398625583,
0.00538625523536175, 0.003662503290538, 0.00271944043200138,
0.000150408361253269, 6.569332846577e-05, 0.000553845490858736,
0.00164608332859659, 0.0024746949045335, 0.00271669558956974,
0.00238354524110274, 0.00174965674540721, 0.000769423302249804,
3.46703070904024e-05), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`n` <-
400
`ns` <-
c(50, 100, 200, 400)
`NSIM` <-
1000
`p` <-
30
`r` <-
c(50, 50, 50, 50, 50, 50, 50, 50, 50, 100, 100, 100, 100, 100,
100, 100, 100, 100, 200, 200, 200, 200, 200, 200, 200, 200, 200,
400, 400, 400, 400, 400, 400, 400, 400, 400, 50, 50, 50, 50,
50, 50, 50, 50, 50, 100, 100, 100, 100, 100, 100, 100, 100, 100,
200, 200, 200, 200, 200, 200, 200, 200, 200, 400, 400, 400, 400,
400, 400, 400, 400, 400)
`savews` <-
function(name=.WSID, d="2007"){
if (!exists(".WSID") && !is.character(name)) stop(".WSID not defined!")
.WSID<<-name
name<-paste(d,name,sep="/")
wsRdata <<- paste(paste("d:/r", name, sep="/"), ".Rdata", sep="/")
wsR <<- paste(paste("d:/r", name, sep="/"), "ws.R", sep="/")
save.image(wsRdata)
dump(ls(envir=.GlobalEnv),wsR)
wsRHistory <<- paste(paste("d:/r", name, sep="/"), ".RHistory", sep="/")
savehistory(wsRHistory)
cat(paste("saved: ", wsRdata), fill=T)
cat(paste("saved: ", wsR), fill=T)
cat(paste("saved: ", wsRHistory), fill=T)
}
`sd` <-
0
`sdD` <-
structure(c(0.00944596679411442, 0.0127781536886754, 0.0150535663224809,
0.0149113978963999, 0.0154116611841645, 0.0243419799136147, 0.0455538549021493,
0.0158672754781823, 0.00556220750621293, 0.0147836623405092,
0.0371189367216821, 0.0283689163302860, 0.0229281330038291, 0.0232919805668042,
0.0249050619068718, 0.0414850418703185, 0.0727185339265568, 0.00707614751082277,
0.00765784200307869, 0.0451597938947851, 0.0274600530673671,
0.0257351129293616, 0.0262202539105937, 0.0284706839427150, 0.029466187452174,
0.118918747812466, 0.00510756157046645, 0.00253517027291038,
0.0367392896330252, 0.0247155201151530, 0.0236961507193769, 0.0244489785536281,
0.0255810815239796, 0.0229284339772534, 0.0754874330866043, 0.00187010686754213
), .Dim = as.integer(c(9, 4)), .Dimnames = list(c("-1", "-0.9",
"-0.6", "-0.3", "0", "0.3", "0.6", "0.9", "1"), c("50", "100",
"200", "400")))
`sdF` <-
structure(c(0.0283177640136421, 0.0181641901896983, 0.00716526222398152,
0.00335102693517044, 0.00723069519888006, 0.0205195673169968,
0.0424578001386714, 0.0549250738280118, 0.0251859150300943, 0.0363718930288547,
0.0286542390115604, 0.0040747026717118, 2.96338347922989e-05,
7.339304105775e-05, 0.000684183816863362, 0.0224961430715832,
0.0895926273718853, 0.0173283441614964, 0.0216048450012685, 0.0338240812813165,
0.000108376467180745, 1.27474299584679e-05, 1.24817493379906e-05,
0.000113831326534903, 0.00196305624686718, 0.0881260793544163,
0.0119427219412892, 0.0080993678380628, 0.0274177834794264, 1.85689222145469e-05,
1.47732060306367e-05, 9.70187429956515e-06, 4.11347163271527e-05,
0.000247367649218510, 0.0547082624494129, 0.00583797407001605
), .Dim = as.integer(c(9, 4)), .Dimnames = list(c("-1", "-0.9",
"-0.6", "-0.3", "0", "0.3", "0.6", "0.9", "1"), c("50", "100",
"200", "400")))
`SDRelativeEfficiency` <-
function(x,y){
mx<-mean(x)
my<-mean(y)
sx<-mean((x-mx)^2)
sy<-mean((y-my)^2)
sxy<-mean((x-mx)*(y-my))
v<-(sx/(my^2)) + (sy*mx^2)/(my^4) - (2*sxy*mx)/(my^3)
sqrt(v/length(x))
}
`SimulateMA1` <-
function(n, theta){
a<-rnorm(n+1)
a[2:(n+1)]-theta*a[1:n]
}
`StartTime` <-
c(8779.51, 15.67, 115156.28, NA, NA)
`th` <-
1
`thDurbin` <-
structure(c(-0.505193951500373, -0.732077854756902, -0.845998599575516,
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0.957704391111456, 0.956170634649812), .Dim = as.integer(c(1000,
9, 4)))
`thExact` <-
structure(c(-0.893522320215802, -0.999999105055822, -0.99999931213595,
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`thFaster` <-
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0.989977427635551, 0.989974783331218, 0.92688557544105, 0.951057506562486,
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0.989962330400082, 0.989964420093759, 0.989951359778478, 0.96413609583901,
0.951856471816676, 0.98994621772305, 0.970427689090197, 0.96006426998935,
0.951887570540536, 0.97068130302785, 0.989946297770688, 0.989945506316162,
0.989974083518269, 0.989993770918041, 0.94393559153414, 0.989944800390374,
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0.989975189495783, 0.958911679075408, 0.976110506634606, 0.989987505190553,
0.989987152695598, 0.989986168233244, 0.97325922798791, 0.989971622205162,
0.989980827464331, 0.98996386743583, 0.98157728749077, 0.958070142570001,
0.949142991870729, 0.989990707374288, 0.948983834315006, 0.94554214449242,
0.989985568470097, 0.976620715843663, 0.989989071243812, 0.965052628590404,
0.960251597578425, 0.989972165418603, 0.98996243584244, 0.968442693403293,
0.989945588713662, 0.957650292628071, 0.989958176229167, 0.98998166959136,
0.989990707374288, 0.960636950851083, 0.917331285170413, 0.989973040321875,
0.96277112885927, 0.978088716812533, 0.978293610623147, 0.957196628699003,
0.950353516177803, 0.989968198479698, 0.989994677828277, 0.989994186861637,
0.989985809117972, 0.966360972847722, 0.989949849713952, 0.989990707374288,
0.949723916306772, 0.935238344937086, 0.962119091849666, 0.989969137960257,
0.989992535140702, 0.989957880225417, 0.96023334701309, 0.952345910578297,
0.989972762218785, 0.983179056109196, 0.967850389250098, 0.989982293895738,
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0.939778538384208, 0.970295088827924, 0.953289572288478, 0.951665278500718,
0.96797246117563, 0.989990707374288, 0.989951869581504, 0.95678725195980,
0.911569173713672, 0.971716498006532, 0.989994862790108, 0.98998899197533,
0.97853353396475, 0.98996987648569, 0.989938001311722, 0.94675675513057,
0.98997179349018, 0.989976459967525, 0.989965933872777, 0.953326655360883,
0.957557637925183, 0.989994187287625, 0.961063390842468, 0.989988931062427,
0.989948171758638, 0.953695013516206, 0.989990707374288, 0.955462304270877,
0.98996575319494, 0.946317174766554, 0.989965855463484, 0.989990707374288,
0.989984306340957, 0.989990707374288, 0.930371116733438, 0.989993106099177,
0.941221224677767, 0.989961388294757, 0.989977838985278, 0.989946555392008,
0.957987359342403, 0.964380894121846, 0.989991923126764, 0.989971541148878,
0.98995074472796, 0.989989617580953, 0.989998338163392, 0.989990707374288,
0.946625160719086, 0.95454958907259, 0.959871954842608, 0.98997882007927,
0.989989931227892, 0.989990707374288, 0.9899675707278, 0.989953441523397,
0.951277096530686, 0.989990707374288, 0.989965925439709, 0.931692926440875,
0.974944915289133, 0.958227549435528, 0.989991042274198, 0.956172366525755,
0.989960329045193, 0.956287782716636, 0.962914216034077, 0.937612392854972,
0.989982477621454, 0.969621820785658, 0.97565025591063, 0.950550991255493,
0.960644447723413, 0.989960225862721, 0.968263511702066, 0.989994038211456,
0.989981355158863, 0.97945431411883, 0.98997136552889, 0.942562565286747,
0.989959865262683, 0.989961370111702, 0.989977512632921, 0.981864517977978,
0.94322303056311, 0.989995711258383, 0.989983333418133, 0.94576071626285,
0.96155530486712, 0.984408782052738, 0.989976367889958, 0.985998576200446,
0.989961653311678, 0.97359973277061, 0.989943243383412, 0.904222281835213,
0.989944334746194, 0.989969982722552, 0.989990707374288, 0.958396914571433,
0.989990707374288, 0.989999451940087, 0.98995231648568, 0.989979991270219,
0.989945124812562), .Dim = as.integer(c(1000, 9, 4)))
`ths` <-
c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1)
`thsDF` <-
c(-1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6,
-0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6,
0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9,
-0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3,
0.6, 0.9, 1, -1, -0.9, -0.6, -0.3, 0, 0.3, 0.6, 0.9, 1, -1, -0.9,
-0.6, -0.3, 0, 0.3, 0.6, 0.9, 1)
`TimeNeeded` <-
c(4882, 3.47, 4892.47, NA, NA)
`varAsy` <-
structure(c(0, 0.0038, 0.0128, 0.0182, 0.02, 0.0182, 0.0128,
0.0038, 0, 0, 0.0019, 0.0064, 0.0091, 0.01, 0.0091, 0.0064, 0.0019,
0, 0, 0.00095, 0.0032, 0.00455, 0.005, 0.00455, 0.0032, 0.00095,
0, 0, 0.000475, 0.0016, 0.002275, 0.0025, 0.002275, 0.0016, 0.000475,
0), .Dim = as.integer(c(9, 4)), .Dimnames = list(c("-1", "-0.9",
"-0.6", "-0.3", "0", "0.3", "0.6", "0.9", "1"), c("50", "100",
"200", "400")))
`varD` <-
structure(c(0.0215454539740421, 0.0355385926531359, 0.0810374532151046,
0.103215079214688, 0.102689958143682, 0.097258982114508, 0.0629761887015067,
0.0303058917580344, 0.0256111633671993, 0.00169726620778251,
0.00422930769367312, 0.0169320716872129, 0.0248045092496316,
0.0273383357162713, 0.0240097080420541, 0.0150956801102876, 0.00377949492313768,
0.00254382197146816, 0.000511351141356541, 0.00132062484581335,
0.00520308442913099, 0.00833328057366481, 0.0091213662194554,
0.00845613617121962, 0.00507489655545834, 0.00118935891694148,
0.000584533571386229, 0.000203114437158572, 0.000530254306780892,
0.00198455548309070, 0.00309616747491279, 0.00341254519225575,
0.00315048787933736, 0.00216673162982761, 0.000524229993927595,
0.000183965967612685), .Dim = as.integer(c(9, 4)), .Dimnames = list(
c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3", "0.6", "0.9",
"1"), c("50", "100", "200", "400")))
`varF` <-
structure(c(0.00308650183617138, 0.00726684903257946, 0.0189174336790314,
0.0262041466238357, 0.0248517949454411, 0.0289264681922614, 0.0213392468133938,
0.00734501053409066, 0.00543932232302551, 0.00104540187894235,
0.00309090321563771, 0.00782808000792289, 0.0108968856974042,
0.0120705316991421, 0.0109523053285428, 0.00850807753165944,
0.00286599600579265, 0.00196339854855318, 0.000600592387711185,
0.00142897595509575, 0.00337206692495374, 0.00514586558654926,
0.0055367762932786, 0.00533719450128527, 0.0035158450133794,
0.00134241042365647, 0.00083591084685058, 0.00037875792288014,
0.000625077105569043, 0.00164527186747833, 0.00247073789252326,
0.00270926219503928, 0.00236842543943133, 0.00172773411002612,
0.000646431959609721, 0.000380735473363482), .Dim = as.integer(c(9,
4)), .Dimnames = list(c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3",
"0.6", "0.9", "1"), c("50", "100", "200", "400")))
`varMLE` <-
structure(c(0.0032318931919389, 0.00792244701280292, 0.0188719401237835,
0.0262268050885692, 0.0251503387567329, 0.0315201128627037, 0.0305683145565986,
0.00616038247911884, 0.00195949497145156, 0.000768945469133765,
0.00326744949665262, 0.0077924565660353, 0.0108977764405935,
0.0120782350313702, 0.0109978064522021, 0.00930556856467576,
0.00392783727952318, 0.000494792321397719, 0.000240543811509395,
0.0013557806806819, 0.0033721640770552, 0.00514595393197431,
0.0055371814266538, 0.00534018118648114, 0.0035506507507401,
0.00216220640374505, 0.000143615842595317, 5.06817028221104e-05,
0.000549739971570641, 0.00164523783314534, 0.0024709203665131,
0.00270911353158115, 0.00236899124528901, 0.00172980430355037,
0.000709280180124158, 3.29614687971116e-05), .Dim = as.integer(c(9,
4)), .Dimnames = list(c("-1", "-0.9", "-0.6", "-0.3", "0", "0.3",
"0.6", "0.9", "1"), c("50", "100", "200", "400")))
`which` <-
structure(as.integer(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2)), .Label = c("Durbin",
"faster"), class = "factor")
`wsR` <-
"d:/r/2007/FitARMA/Durbin/ws.R"
`wsRdata` <-
"d:/r/2007/FitARMA/Durbin/.Rdata"
`wsRHistory` <-
"d:/r/2007/FitARMA/Durbin/.RHistory"
`x` <-
c(2.48453048802541e-13, 2.46181771694045e-13, 2.30864926563964e-13,
2.13483094251015e-11, 1.53100147923411e-13, 4.71991506246304e-13,
2.50552079262339e-13, 1.22068872909765e-13, 0.000198092853730011,
2.50282679431763e-13, 2.41588084677674e-13, 5.71145946403535e-11,
8.19220460421304e-10, 2.48999528672724e-13, 4.28100177316921e-10,
2.49876202328641e-13, 2.26197046658255e-13, 2.87477138832275e-10,
2.21415597368698e-11, 2.4823915485465e-13, 2.34109308036952e-13,
2.48872827456807e-13, 2.48020307141953e-13, 2.51789739621763e-13,
1.7827043647552e-13, 2.86304295371817e-13, 1.55247915031774e-13,
1.14778275667308e-13, 2.49999113890656e-13, 2.22351145574526e-13,
1.84500022859710e-13, 5.63651951500726e-13, 2.4861947492319e-13,
2.50110625490459e-13, 2.49861690189877e-13, 1.5450477191716e-15,
1.32284364302021e-13, 2.16437722961129e-13, 2.46512006140122e-13,
5.79070644444051e-14, 2.04356995899919e-13, 2.37555875742419e-13,
2.49828809459003e-13, 3.0089898889731e-13, 1.96931340389406e-13,
0.000328911714331826, 2.52025936853705e-13, 2.49411234365073e-13,
2.14367756252573e-13, 2.49195478770196e-13, 2.29750516683023e-13,
1.61096254359275e-13, 2.32914288135051e-11, 2.33644618769598e-13,
2.49385911826471e-13, 0.00253095497268347, 4.21733172319594e-13,
2.46777532460483e-13, 2.32529635658433e-12, 2.31530060313556e-13,
3.3071766945904e-15, 2.49835980870963e-13, 2.33376392190693e-13,
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0.000806362410480184, 0.000130777254598822, 1.94097287412401e-13,
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2.34175848053548e-13, 2.22731669483431e-13, 2.51121700314716e-13,
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2.42505423657921e-13, 2.49968829975791e-13, 2.50111697982217e-13,
2.41149707605714e-13, 2.97735319297248e-13, 2.50022158169933e-13,
2.29752270244862e-13, 2.50004867755413e-13, 2.44376451861672e-13,
2.50693650298106e-13, 2.46978577219195e-13, 2.4826499109681e-13,
3.08750200827091e-13, 2.49988051104299e-13, 2.49851238332400e-13,
0.000220512647379041, 3.26940851855422e-13, 1.83481483192953e-13,
1.61641492327704e-13, 2.18090671567599e-13, 2.27887051612226e-13,
1.97629148746441e-13)
`y` <-
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)
`z` <-
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